In the article below, you can find information about the importance of test automation reports, reveal various types of reports, and learn how to choose the most suitable ones. Also, you can discover what tips to follow to succeed in Playwright reporting, as we consider it the most popular testing framework today.

What is Playwright?

Developed by Microsoft, Playwright is an open-source framework which is used for browser automation and testing web applications. Thanks to its ability to test Chromium, Firefox, and WebKit with a single API, teams can apply it as an all-in-one solution when conducting real-time functional, API and performance testing. Also, teams can carry out end-to-end testing by simulating user interactions such as clicking, filling out forms, and navigation.

Explore more here:

Playwright API Testing: Detailed guide with examples

Being compatible with Windows, Linux, and macOS, the Playwright tool can be integrated with major CI\CD servers such as Jenkins, CircleCI, Azure Pipeline, TravisCI, GitHub Actions, etc.

In addition to that, Playwright has broad language compatibility – supports TypeScript, JavaScript, Python, .NET, and Java – to provide QAs with more options for writing tests. In total, there is a list of key Playwright’s features:

• Cross-browser support – Chrome, Firefox, WebKit.
• Automatic waiting for elements to be ready.
• Parallel execution of tests to deliver high performance.
• Mobile device emulation and geolocation simulation.
• Easy integration with CI\CD tools.

Find more information about Playwright’s capabilities for automation testing:

Playwright Test Automation: Key Benefits and Features

What is a Test Report in Playwright?

A Playwright test report is a detailed document, which is generated after running a set of automated tests using the Playwright testing framework. It displays test results to reveal which tests were passed, failed, and skipped, and helps to uncover how well the application functions or performs.

In the Playwright test report, you can find the following components:

• Status of Tests. This component shows information about passed/failed/flaky/skipped tests.
• Error Details. This component outlines the types of errors (for example, assertion failed, timeout, network errors) and their positions within the application.
• Execution Time. Here you can discover how much time it took to run each test to uncover slow tests and performance issues.
• Screenshots. For a failed test, Playwright will automatically take a screenshot at the point of failure and provide crucial visual context.
• Videos. Playwright can record a video of the entire test execution for failed or all tests, providing dynamic information and showing what has led to a full-scale failure.
• Logs & Debug Information. Detailed logs that can help developers debug issues by providing insights into browser actions, network requests, and responses.
• Test Coverage. This component is valuable because it provides visibility into the number of tests within the coverage scope.

Indeed, Playwright reports have been designed to be interactive – with options of expanding/collapsing sections, filtering tests, and navigating through detailed failure information such as stack traces, screenshots, and videos with ease; and giving QA and dev teams an important understanding of the test’s performance in context.

Why teams need Test Automation Reports

• They see visual representations of the results of tests and can prioritize bug fixes and enhancements depending on how they affect the user experience.
• Teams are in the know about the full picture of how all the tests have been executed: they see the number of passed, failed, or skipped tests to understand how good and stable the application is.
• Thanks to reporting options, teams can get clear details of what went wrong to find and fix the main problem quickly.
• Teams can see how much of the app is being tested and which parts still need testing.
• Teams should not check the results of all tests manually to identify common problem areas in the app.
• With regular and detailed test reports, teams can monitor how well the app is doing in different tests to decide how to make their test automation better.

Different Types of Test Reporters in Playwright

When you run Playwright tests without specifying a reporter, it uses the list reporter by default. For more control, it is good practice. Specify your preferred reporter you can in the file playwright.config By default, the HTML reporter is applied.

Additionally, the easiest way to build reporters is to pass the --reporter flag with the command line. Example Playwright HTML reperter:

npx playwright test --reporter=line

Find your test result reports you can in the root folder result-reports or other if you set it.

So, let’s review the Playwright reporting types and reporter methods you can utilize to meet your testing needs.

Built-In Playwright Reporters

List Reporter

Playwright’s List Reporter provides a compact and text-based summary of the tests run. For every test that encounters a problem, it delivers the error message right near it and a call stack – this helps in figuring out what has gone wrong. While it doesn’t offer interactive features like the HTML report, its simplicity makes it an excellent choice for rapid debugging during development.

Furthermore, the List Report offers valuable information on test execution status, but without the need for a browser or complex UI. This reporter is useful for CI\CD pipelines where a simple, sequential output is preferred for logging and immediate feedback.

Line Reporter

Being a highly compact, line reporter uses a single line to display test execution results and dynamically update it as tests complete.

Line reporter is useful for large test suites, where it shows the progress but does not spam the output by listing all the tests.

It is important to mention: Line Reporter only outputs detailed information, such as error messages and stack traces, specifically when a test fails to make it very useful for developers who need quick feedback during local development or in CI environments where log details should be controlled. Overall, it prioritizes a clean console while still delivering immediate alerts for any issues.

Dot Reporter

When you run your tests in the console, Playwright’s Dot Reporter provides a highly visual representation. It uses a single dot (.) for every test that passes, so you can instantly see how things stand at any time as tests are run. If a test fails, it usually emits an ‘F’ (‘Failure’) or similar character as a warning.

Dot reporter is a good fit if you need to quickly measure overall test suite results without detailed output, making it just right to use on large projects or in the CI\CD dashboards. Its main advantage is that it offers a real-time and intuitive visual progress for your test suite.

HTML Reporter

HTML Reporter is an invaluable tool, which is used by teams to visualize test results in an intuitive and interactive web interface. After a test run, it generates a comprehensive HTML file which can be opened directly in a web browser. In our cases index.html file:

After we open the HTML file, we can see such a report in visualization Passed, Skipped or Failed tests:

The playwright HTML report gives a detailed overview of all tests, clearly displays which areas of the application were tested, and highlights the status of each test and its coverage.

For any failures, it offers detailed accounts of failures, notes error types and locations, supplemented by screenshots, videos, and powerful trace files.

What is Playwright Trace Viewer?

Playwright can record a trace of your test execution—essentially a detailed log that includes:

• Screenshots and DOM snapshots
• Network requests/responses
• Console logs
• Actions performed (clicks, inputs, navigations, etc.)

The Trace Viewer then lets you open these trace files in a visual UI for step-by-step playback. In Trace Viewer you can easily understand what exactly went wrong —maybe a timing issue, a missing element, or a slow response.

JUnit Reporter

Playwright’s JUnit Report is built to output test results in the standardized JUnit XML format that is crucial for Continuous Integration/Continuous Delivery (CI\CD) systems.

JUnit reporter produces a JUnit-style xml report.

Most likely you want to write the report to an xml file. You can see it on our screenshot in the down left corner.  When running with --reporter=junit use the environment variable:

PLAYWRIGHT_JUNIT_OUTPUT_NAME=results.xml npx playwright test --reporter=junit

In configuration file, pass options directly:

import { defineConfig } from '@playwright/test';

export default defineConfig({
  reporter: [['json', { outputFile: 'results.json' }]],
});

The generated XML file includes all the information about the test suite and cases – names, durations, and results. For failed tests, it provides essential details like error messages and stack traces, enabling automated parsing by CI tools. Its biggest advantage is that it can be used in any CI pipeline, with build servers readily able to understand the results of tests and processes controlling deployments. Although it does not provide the rich interaction of the HTML Reporter, its machine-readable format is essential to make automatic quality gates and continuous feedback work. You can download the XML JUnit Report file and upload it to various analytics tools to view data in a more refined presentation.

Multiple Reports in the Configuration File

With Playwright, you’re not restricted to a single report format, so you can meet a variety of requirements. Thanks to this adaptability in reporting, you can assign multiple reporters at once to the configuration file and define them on the console terminal. In the configuration file write:

  reporter: [
    ['html'],
    ['json', {  outputFile: 'test-results.json' }],
    ['junit', { outputFile: 'results.xml' }]
  ],

For instance, you can create a HTML report and a JSON report to receive a JSON file along with the results once you specify it in the command line or configuration file.

Custom Report

With Playwright Custom Reporter, you can tailor test result output based on the project’s unique needs. You can develop your custom reporter using JavaScript/TypeScript to transform raw test data into any format or integrate Playwright tests into existing workflows or proprietary systems that don’t support standard report formats. A custom reporter allows you to filter, aggregate, or visualize data and give a view of the results of tests, which can be reviewed by all relevant stakeholders.

For using the Custom reporter, you need to study more about the Reporter API and update the Playwright configuration file by writing its data there:

import { defineConfig } from '@playwright/test';

export default defineConfig({
  reporter: [['./my-awesome-reporter.ts', { customOption: 'some value' }]],
});

Third-Party Reporters in Playwright

Playwright allows you to integrate third-party reporters to extend its built-in reporting capabilities more extended. Thanks to these external tools Allure, Monocart, Tesults, ReportPortal, Currents, and Serenity/JS, teams can improve the reporting process by adding the following features – detailed HTML reports, real-time monitoring, and interactive dashboards; they also help teams in viewing test results and visualising them in different formats and simplify the monitoring of test performance, failures, and trends.

Max Schmitt, Open Source enthusiast, Playwright full-stack web developer, gathered all such third-party solutions for Playwright in a single GitHub repo,  Awesome Playwright.

In this repo, we are also represented

Playwright’s integration with testomat.io enables teams to see a live status before the test run has finished execution. And, a full report link will also be created to share among all parties involved as necessary.

If something fails, the execution trace, test case, and attachments can be analysed to find out what went wrong.

These reports are good for analyzing whether build compile, automated test execution, or deployment steps passed or failed.

Detect Playwright flakiness you can in a 2 way as you can see with the Analytics Dashboard widget and the AI Testing Agent. Flakiness detection helps ensure Playwright tests in the framework are dependable enough to be run automatically and frequently.

With generated reports for CI\CD pipelines, teams can create quality and deployment readiness reports automatically from their continuous integration and delivery processes. It can be achieved through the integration with the testomat.io tool.

How to Choose the Right Type of Playwright Reporter

Before selecting the type of reports, it is essential to define the needs of your team, your project scale, and the level of detail you require, and then adapt Playwright reporting to those needs. Here are a few considerations to make when deciding which type of Playwright reporting you need:

• Purpose of the Report. Your report should be driven by the main testing goals and determine the need for either quick developer feedback or comprehensive stakeholder updates.
• Size of the Test Suite. If you are testing small, a short console reporter (List or Dot Reporter) could be enough for fast feedback. But when the test suite reaches hundreds or thousands of tests, deeper reports like the HTML Reporter or specialized dashboards are invaluable to effectively explore and interpret the results.
• Environment. The testing environment heavily influences reporter choice: for local development, an interactive HTML report is ideal for immediate debugging, while for CI\CD pipelines are a good fit thirty-part Playwright reporting solution for automated parsing and quality gate integration.
• Level of Detail. The depth of understanding the results of tests is important. For detailed debugging and root cause analysis, the HTML Reporter (and it’s Traces, Screenshots, and Videos) provides every detail of any failure, up to the kind of failure, and the place in the application where it failed. If the level of detail is minimal, you can select the Line or Dot Reporter to get at-a-glance feedback.
• Data Storage Needs. If you require the historical analysis, there are reporters that generate HTML and JUnit XML files for further review. For long-term trend analysis or integration with test management systems, you can select a reporter which will sends data to an external database or service, often through a Custom Reporter. But our test management software testomat.io also support this option.
• Customization Options. If one of the regular reporters simply isn’t generating the data exactly like you need, the way the data’s aggregated, or if the data needs to be submitted to an external system, the Custom Reporter is a good option for matching the specific reporting workflows.
• Test Management Systems (TMS) Integration.  Some reports (JUnit XML, for instance) can be readily integrated with a variety of TMS to collect data in one place. So, if you need real-time monitoring of test runs, failures, and trends, you need to consider whether the report is required to directly push results to a TMS for better visibility.
• Team Cooperation. When selecting, you need to make sure the report format can be shared among team members to get a better understanding and make decisions. comprehension of the situation. If the team uses certain tools (such as Jira or Slack) to communicate with each other, then test management software might be suitable to facilitate your test result display.

Benefits of Reporting in Playwright

• Thanks to Playwright reporting, teams can get comprehensive details about test runs and quickly pinpoint the root cause of issues.
• Teams can assess the suite of results in real-time, speed up the feedback process, and maintain a continuous development flow.
• With shareable reports, teams can quickly discuss test results with business stakeholders, even those without technical backgrounds, to accelerate understanding across development, QA, and product teams.
• Teams can prevent faulty code from being deployed and ensure continuous quality thanks to automated quality gates in CI\CD.
• Teams benefit from customizable Playwright reporting options to tailor their reports to unique requirements.
• Teams can generate report files (like HTML or JUnit XML), archive results, and analyze performance, failure rates, and trends over time.

Challenges in Playwright Reporting

There are some challenges in Playwright Reporting that teams should be aware of:

• While Playwright offers custom reporters, creating interactive reports beyond the built-in options can demand significant development effort.
• Teams face difficulties in identifying key issues in the test reports in terms of including too much information in the suites of tests.
• The use of multiple environments, including various browsers and devices, can contribute to generating unpredictable results.
• Flaky tests are prone to producing false positives or negatives, which might result in inaccuracy in the reports.
• Slow page loads may cause an increase in reported execution times and impact accuracy.
• Complicated user flows and dynamic content can overwhelm reports with redundant information.

Tips for Effective Playwright Reporting

Here are some tips to follow to enhance the Playwright test reporting:

• Before executing the tests, it is essential to clearly define what you’re testing and focus on metrics which will help you determine what success looks like.
• You need to create a reporting format that is easy to interpret and helps teams resolve issues quickly. Likewise, the content can be presented in HTML format or offered as a downloadable PDF.
• For better understanding, you need to add screenshots/videos to your test reports to provide visual context and make sure they are shareable.
• You need to use CI tools to automatically trigger the report creation and distribution after each test run.

Want to Reap the Benefits from Playwright Reporting?

With good test reporting, you can turn testing data into actionable insights. Using Playwright’s reporting tools allows teams to get useful information about their results, uncover problems early, and make testing better. Thanks to diverse types of reporters in Playwright and integration capabilities, teams can integrate multiple reporters and even create custom ones to meet their different needs in testing.

If you are interested in simplifying Playwright reporting and integrating it with testomat.io for better management, do not hesitate to drop us a line and learn more about the services we provide.

The post Playwright Reporting Generation: All You Need to Know appeared first on testomat.io.

— Are you surprised

— The reason? Flaky tests are!

This article explores how to identify, eliminate, and prevent dangerous flaky tests.

Unstable tests can become a serious obstacle that complicates the development process. They create uncertainty and require significant time and resources to resolve when they are detected.

→ What do flaky tests entail?
→ What triggers them?
→ How can they be fixed or prevented? — it is the most important for us.

You will find answers to all these questions below

What Is a Flaky Test?

A flaky test means an automated test that produces inconsistent results. We can talk about a spontaneous test failure and a successful pass during the next test execution. This behavior is not related to any code changes. Naturally, this type of software testing does not contribute to overall Quality Assurance. In other words, it prevents teams from effectively reaching their objectives.

Key characteristics of flaky tests include:

• Inconsistency of results. Flaky tests produce unreliable outcomes, as their results fluctuate regardless of code changes.
• Unreliable test status. Assessing a product with flaky tests is inherently unreliable, as the results cannot be trusted. The Pass and Fail statuses fluctuate randomly with each retry, making them unpredictable and difficult to interpret.
• Dependence on external factors. These tests are extremely vulnerable to external dependencies, including environment variables, system configurations, third-party libraries, databases, external APIs, and more.

We have now defined flaky tests and outlined their key characteristics. However, the common causes of their occurrence have not been revealed yet.  Let’s delve into this topic

What Causes Test Flakiness?

Understanding the root causes of flaky tests will allow you to develop an effective strategy for their prevention. It will also help you mitigate the consequences if they do occur.

What can serve as precondition for future flaky tests?

→ Parallel test execution. Running tests concurrently can enhance the efficiency of QA processes. However, in some cases, this approach may backfire, leading to test instability. This happens when multiple tests compete for the same resources. In other words, race conditions are present.

→ Unstable test environment. A project may face unreliable infrastructure or fluctuating system states. Insufficient control over the environment or lack of isolation can also contribute to instability in testing.

→ Non-determinism. This refers to generating different results from the same set of input data. In testing, this can occur when tests depend on uncontrollable variables, such as system time or random numbers.

→ Errors in test case writing. These can result from misunderstandings within the team, incorrect assumptions, or other factors. As a result, the test logic may be compromised, leading to unreliable results, such as false positives or false negatives.

→ Partial verification of function behavior. When creating test cases, it is important to write as many assertions as possible. They should cover all aspects of the function’s behavior, touching on edge cases and accounting for all potential side effects. If this is not done (if the assertions are insufficient), the tests risk becoming unstable.

→ Influence of external factors. Some dependencies can negatively impact test stability. To illustrate, here are a few examples:

• Tests that rely on external services or API can become unstable.
• Problems with data consistency or synchronization can arise if testing is related to a database or external storage.
• System issues. Issues like high server load or memory overload can undermine stability.
• Device dependency. Instability may also arise from problems related to hardware availability.

Most of these preconditions for test instability can be eliminated, thus preventing future issues. However, if this is not achieved, it is important to be able to recognize flaky tests in time.

Learn more about the causes of flaky tests in this video: What Are Flaky Tests And Where Do They Come From? | LambdaTest

How to Identify Flaky Tests?

In this section, we will discuss how to determine that your test suite is not reliable enough due to the presence of flaky tests. It is crucial to do this, as ignoring the issue can reduce trust in the CI\CD pipeline overall and slow down development.

Here we are describing them in detail:

#1. Re-running Tests

Examine the test results when executed multiple times. If conflicting results arise during this process, it’s a clear indication of flaky test.

#2. Alternating Between Sequential and Parallel Test Execution

Test both sequential and parallel executions, then compare the outcomes. If a test fails only during parallel execution, this could point to race conditions or test order dependencies.

#3. Analyzing Test Logs

Reviewing the test execution history and error messages can reveal patterns in failing tests. For example, tests that produce different errors across runs may signal non-determinism or insufficient assertions.

#4. Testing in Different Test Environments

Run tests in various environments with different configurations or resources. If the results vary, it’s a sign that the tests may not be stable.

#5. Focusing On External Dependencies

Pay special attention to tests that depend on external factors. These may include API, databases, file systems, etc. These tests are more prone to unstable behavior. Potential failures may be triggered by issues with the external system.

#6. Using Specialized Tools

The CI\CD pipeline is an ideal place to spot flaky tests, as it tracks the success and failure history of individual tests over time. Many CI\CD tools also offer additional plugins designed to monitor instability.

Modern test management systems like Testomat.io can also assist in detecting and diagnosing flaky tests. We’ll dive into the platform’s capabilities for this later.

#7. Manual Checks 

If test flakiness is still not obvious, you can try to detect potential flaky test cases manually. To do this, check the test codebase, evaluate the likelihood of race conditions, and analyze the test logic. In other words, assess the presence of any instability causes we mentioned earlier.

These reliable strategies will help you identify flaky tests. Why is this crucial for project success? We break it down.

The Importance of Flaky Test Detection

Test instability is an issue that many teams face. The results of a recent study showed that 20% of developers detect them in their projects monthly, 24% weekly, and 15% daily. Interestingly, 23% of respondents view flaky tests as a very serious issue.

Here are several reasons behind this perspective, highlighting why it is crucial to identify and address instability promptly:

1. Slowing down the development process and increasing project costs. Unreliable test results prevent teams from progressing to the next development stage. They require manual checks, repeated executions, or extra steps to pinpoint and fix errors, consuming valuable time and resources.
2. Decreasing the effectiveness of test automation. Flaky test outcomes provide little useful information, leading to a loss of trust in the entire test suite. Over time, teams may begin to disregard test results, undermining the purpose of continuous integration systems.
3. Inconsistent feedback. Instability in tests results in inconsistent feedback on the quality of the application code. Developers fail to get an accurate picture of the situation, which delays problem identification and resolution.
4. Decreased team performance. Frequent failures can negatively impact team morale, leading to diminished productivity, communication, and motivation. This ultimately affects the quality of the final product.
5. Challenges in identifying true errors. Flaky tests in the test suite, may cause developers to mistakenly attribute all failures to these inconsistencies, overlooking real issues in the codebase. As a result, these problems remain undetected, accumulate, and create major challenges in diagnosing and resolving them.

Flaky tests disrupt the software development process in many ways. From increasing the duration of project work to worsening the overall atmosphere within the team. This is why it is important to identify and eliminate them as they arise.

How to Measure and Manage Flaky Tests?

The initial step in effectively managing flaky tests is to evaluate their frequency and the impact they have. This can be done through different methods:

• Analyzing test run history. Review the test execution history in your CI\CD pipeline or version control system. This will help identify the number of tests that periodically change their pass/fail status regardless of code modifications.
• Evaluating failure frequency. Track how often tests fail under varying conditions, such as in specific testing environments.
• Using test automation metrics. To gauge the extent of the issue, calculate the flakiness rate. This metric represents the percentage of test runs that produce unstable results. It is calculated using the following formula:

• Applying statistical methods. For example, you can use the Standard Deviation/Variance measurement method. If there is no instability in a specific test suite, the standard deviation will be zero.
• Using specialized tools. Some modern platforms enable teams to optimize their testing efforts by analyzing test result trends and helping to identify and manage flaky tests.

Test Management AI-Powered Solution for Flaky Tests Detection

Test Management System testomat.io is a powerful TMS that offers its users advanced capabilities for working with automated tests. One of these features is advanced test analytics, offered through a Test Analytics Dashboard with user-friendly widgets.

One of the key widgets in the system is Flaky Tests. It allows testers to easily track tests with inconsistent results and make decisions about fixing them.

Let’s take a closer look at the algorithms used to detect flaky tests in Testomat.io. On what basis can a test be added to this list?

To identify instability, the system calculates the average execution status of a specific test. The following parameters are used for the calculation:

• Minimum success threshold. The minimum acceptable percentage of a “pass” status, which can be considered an indicator of instability.
• Maximum success threshold. The maximum acceptable percentage of a “pass” status, which can be considered an indicator of instability.

Let’s consider how the system’s algorithms work with a practical example.

Set success thresholds:

• Minimum – 60%.
• Maximum – 80%.

Suppose a test was run 18 times. Out of these, 12 runs were successful. So, its success probability = 66%. We see that the obtained result falls within the specified range. Therefore, the test will be considered unstable.

Note: To calculate the passing score, the data from the last 100 test runs are considered.

After displaying the table with flaky tests, users can perform the following actions:

• Sort with one click. To do this, click on one of the required columns – Suite, Test, Statuses, or Executed at.
• Filter by execution date, priority, tags, labels, and test environment.
• Change the order of columns for easier data analysis.

So, we have learned how to detect flaky tests, assess their impact on development quality, and manage them with specialized tools. Let’s move on to methods for addressing the problem.

How to Maintain Flaky Tests?

Effective maintenance of flaky tests involves several stages. Together, they allow you to fix existing instability, understand its cause, and prevent it in the future.

Root Cause Analysis

Identify the cause of instability. The most common causes include resource unavailability, external dependencies, errors in test code, or race conditions.

Fixing Flaky Tests

After pinpointing the cause of instability, take corrective measures to eliminate it. These may involve:

• Ensuring test idempotency. Tests should be designed to run independently, without relying on previous executions to maintain consistency.
• Implementing synchronization mechanisms. This is necessary so that tests fail when race conditions or system delays occur.
• Simulating external dependencies. If the cause of instability is a test’s dependency on external services, it is advisable to use stubs. They will simulate the dependency.
• Stabilizing the test environment. It is crucial to ensure maximum stability and predictability of the environment. One option is to use containerization.
• Improving the quality of flaky test cases. Control test logic and cover as many system or function behavior scenarios as possible.

Isolation and Prioritization of Problematic Tests

This step involves categorizing flaky tests by severity. If a test frequently fails, the issue should be addressed as a priority.

The most unstable tests should be isolated or temporarily removed from the overall test suite. Alternatively, use a relevant tag to mark such test cases. This way, you can minimize the impact of flaky tests on overall test results.

Continuous Monitoring of Tests and Team Training

Even after eliminating instability, continue to monitor your test sets continuously. This will allow you to:

• ensure the effectiveness of the fixes made;
• prevent flaky tests from reappearing;
• maintain a feedback loop.

It is also important to provide ongoing training for testers throughout the project. This will help them write reliable, stable tests, including:

• correctly handling external dependencies;
• considering all possible function behavior scenarios;
• following test isolation methods;
• avoiding race conditions.

Effective maintenance of flaky tests includes identifying their causes, working on their elimination, and subsequently monitoring the quality of test cases. Combined with continuous improvement of test automation skills, your team will achieve good results in solving this problem.

Summary: Best Practices for Minimizing Flaky Tests

Flaky tests are a serious problem faced daily by many development teams. To bring a quality software product release closer, it is recommended to focus on reducing their number. How can this be done?

• Ensure test isolation. Tests should not depend on the state of previous tests. It is also important to test in isolated environments. Containers or virtual environments are suitable.
• Avoid tests that rely on time. Do not rely on waiting for a fixed amount of time. Instead, use timeouts or explicit waits.
• Simulate external dependencies. If a test depends on external services, use mocks and stubs. Instead of databases and API, you can use mocking libraries.
• Use reliable test data. It should be predictable. Avoid depending on dynamic data, as any changes to it can cause instability.
• Ensure reliable synchronization. Parallel test execution should be carefully managed. Use locking mechanisms like semaphores or queues to ensure tests run consistently and prevent race conditions.

Implementing these strategies will help minimize the chances of instability in software testing for your project. As a result, your team will save time and resources that would otherwise be spent on fixing it.

The post Overcome Flaky Tests: Straggle Flakiness in Your Test Framework appeared first on testomat.io.

In simpler terms, it is a concise description of all the test cases conducted, the objectives intended to be achieved, and the results obtained after the completion of the entire testing process, adhering to exit criteria.

Thanks to the test report in the test management system (TMS), collaboration between the team and stakeholders is improved, ensuring a shared understanding among all participants in the development process.

Unlike daily prompts software testing reports, which highlight only the current status and daily results, the test report with TMS contains summarized archived data history about all testing activities performed throughout the software development lifecycle.

Advantages of Test Report in Software Testing

A test report in software testing is a useful artifact and tool for both the QA team and all stakeholders for several reasons:

1. It provides information about the quality status and readiness of the software application to both the internal team and external stakeholders (such as developers, project managers, and product owners). Especially available reporting promotes transparency between teams, where everyone can see the current status of the project and also they together might perform root cause analysis of specific bugs.
2. A good test report includes metrics that help the QA team know the work’s effectiveness. Visualizing these metrics offers valuable insights for shaping future testing strategies and uncovering areas for future improvements.
3. Test reports are usually aligned with the test plan, so they are critical issues for monitoring the overall progress.
4. Test report verifies that the product complies with established requirements and standards.

The Test Cycle Closure Report provides a comprehensive summary of the entire testing phase. Include key metrics like test cases executed, passed, failed, and any unresolved defects to give stakeholders a clear overview of the testing outcomes.

Sergey Almyashev
COO, ZappleTech Inc.

Test reports in software testing, along with their thorough analysis, help to greatly enhance the development process by offering accurate and timely feedback.

Common Test Reporting Functions

Recording Test Results (Data Collection)

A substantial quantity of data is produced during the testing process, including coverage metrics, reports on defects found, testing results, and other data. The report’s structure and organization guarantee the relevance and dependability of these data. Details of the test environment, including hardware and software configurations, are included in the gathered material in addition to test execution results. This gives interested parties a better grasp of the testing circumstances and the variables that might have affected the results.

Data Analysis of the obtained result

After the relevant information is collected, a thorough analysis is performed to identify trends and connections. The main goal is to evaluate the performance of the software and identify potential problems. For example, the analysis may reveal that a specific functional area contains recurring bugs, indicating that the team needs to focus on improving that specific element.

Presentation of Results

In the final step, test results are presented in a clear and practical format to allow for quick decision making. Visualization tools such as charts, graphs, or dashboards are often used to provide a snapshot of the test status in a matter of seconds. Additionally, text annotations are included to provide context and explain the meaning of the presented data.

Types of Testing Report Protocols

There are different types of test reports, each containing important information and key metrics about the tests performed:

1. General Test Report. Provides a general overview of all test activities performed during a specific project phase or cycle. This report reflects metrics such as the number of test cases: successful and failed, as well as unresolved defects, helping participants in the testing project assess the overall state of testing. You understood right, it consists of different more detailed parts, which we consider at the bottom.
2. Test Execution Report (TER). This report provides detailed information about each test, such as the test case ID, description, status of each test case (pass/fail), and any additional notes from the tester. It helps track testing progress and highlights areas that may require urgent attention.
3. Bug Report/Error Report. Contains details of any bugs found, such as their identifier, description, severity, priority, reproduction instructions, and current status (e.g., open, fixed, closed). Bug report helps prioritize fixes and track progress in fixing bugs.
4. Traceability Matrix. An RTM table that shows how each project requirement maps to a test case, ensuring complete functional coverage and demonstrating the test coverage achieved.
5. Smoke Test Report. It verifies the critical App’s functionalities after the latest build deployment.
6. Performance Report. Evaluates the results of performance testing, including response time, throughput, utilization, resource allocation, and scalability, thereby assessing system performance under various loads and identifying potential performance issues.
7. Security Report. Describes the results of security testing, including discovered vulnerabilities and recommendations for improving security, especially for applications that handle sensitive information.
8. Regression Testing Report. Summarizes the results of regression tests, evaluating the impact of new features on existing functionality and showing how changes have affected the system’s stability. Build such report with testomat.io using a @tags, labels and filtering features for test selection.
9. Compliance Report. In regulated industries, such as finance or healthcare, these reports confirm adherence to relevant standards and may be required for certification.
10. User Acceptance Test (UAT) Report. Includes the results of testing by end-users who evaluate whether the product meets their needs. The report captures user experience, identifies issues, and assesses the readiness of the software for deployment.

We have listed the main types of testing report protocols. Given this classification of testing types, there are many more.

Thus, a test report in software testing is a comprehensive process, where different types of reports address the needs of specific stakeholders and pursue various goals. Each type of report provides specific information on particular aspects of testing, offering a complete picture of the development status and enabling an assessment of the software product’s quality at each stage.

When Should a Test Report in Software Testing be Prepared?

Reporting should occur at regular intervals. For example, ISTQB defines the following concept,

Test Status Report

A document summarizing testing activities and results, produced at regular intervals, to report progress of testing activities against a baseline (such as the original test plan) and to communicate risks and alternatives requiring a decision to management.

The final test report is usually prepared at the concluding, sixth stage:

At each stage, testers analyze their actions in detail to assess the overall quality of the software. Also, a test report in software testing is prepared upon request by stakeholders or to achieve specific goals, as well as after significant software updates.

Use the report to document lessons learned from the test cycle, such as process improvements, issues encountered, and areas where the team can improve for future cycles. This helps drive continuous improvement.

Mikhail Bodnarchuk
CDO, ZappleTech Inc.

What Main Components of Test Report in Software Testing?

Of course, creating a good test report requires a systematic approach that includes several important sections. Each section has a specific purpose and contributes to its completeness.

Let’s explain now the main elements of a test report:

Test Report Introduction

This section serves as an overview of the entire document, providing a summary of the report and setting expectations for readers. The main components of the introduction are:

• Purpose. Clearly indicate whether this is a test summary at a specific stage, an update on progress, or an assessment of the software product’s readiness.
• Date. It is when test execution is run.
• Scope. Outline the scope of testing (sets of test suits and test cases), specifying which aspects of the software were tested, what types of testing were conducted (e.g., functional testing, performance testing, security testing), and note any limitations.
• Software. Specify the particular software or module tested, including software versions and other relevant parameters.

Test environment

This section describes the conditions and setup in which testing was conducted. Key elements:

• Hardware. List of hardware, including specifications (e.g., processor, RAM, etc.), used for testing.
• Software. List of software components, operating systems, versions, and configurations.
• Configurations and versions. Includes network settings, permissions, and software versions.

Test execution overview

This section provides a test summary report, which includes:

• Number of tests. All planned and executed tests.
• Passed and failed test cases. Information on the number of successful and failed tests, along with brief explanations or extract of code if it is automated tests.

Detailed results of testing activities

This section describes each test case

• Test case id and action description. A unique number and a brief description.
• Status and defects. Provides information on the status of each test case, including execution results and identified issues.
• Test data. Information to ensure reproducibility.
• Screenshots or attachments. Adds context and confirms testing outcomes.

Defect summary

This section analyzes defects:

• Total number and categories. Specifies the number and categories based on severity and priority.
• Defect status. Link to test cases and status of defects (e.g., open, closed).
• Actions for resolution. Describes actions taken to fix defects.

Test coverage

Shows which components of the software were tested and which were not. Key elements:

• Functional areas. List of tested modules.
• Code coverage percentage and uncovered areas. The percentage of code tested during the process and reasons for omissions.

Test execution summary and recommendations

A summary of key results and recommendations:

• Testing results and achieved goals. This is an overall assessment of the test results and progress toward achieving the test objectives.
• Areas for improvement and suggestions.  This section provides recommendations aimed at improving the software quality and the testing process.

These parts of the report help to give a comprehensive view of the test results and create a basis for further steps in software development.

Look at the other more advanced test report template that you can easily create using Google Doc tables.

Step-by-Step Guide:
How to Create an Effective Test Report in Software Testing?

The report is an important communication tool between all participants in the development process, as it provides critical information about the quality and progress of software testing.
Thus, creating a comprehensive and informative report on the testing activities requires clear and structured organization to ensure clarity and accuracy.

Here is a step-by-step guide on how to prepare a complete and effective report:

#1: Defining the Objective

Before preparing the report, clearly define its purpose and consider who the target audience will be. Determine which data is necessary to make an informed decision. For example, for management, the overall progress is important, while for testers, the details of some particular test results are crucial.

#2: Collect Detailed Data to generate report

To prepare an accurate test report in software testing, it is essential to record all critical testing metrics, such as results, defects, environment settings, and other relevant parameters. Test management tools can be used to gather data automatically.

#3: Selecting Relevant Test Report Metrics

The choice of testing metrics, such as test execution time, number of defects, test coverage, and progress of test case execution, should be aligned with the needs of the target audience of the report to effectively assess software quality.

#4: Simplicity of Presentation Test Result

It is important that the information is presented in simple, understandable language, without excessive technical jargon that may be difficult for individuals without technical expertise.

#5:  Data Test Report Visualization

Graphs, charts, and tables help effectively present testing results. They can show the status of each test case, defect trends, or comparisons of results across different test cycles.

#6: Adding Context and Analysis

Additional explanations for visualizations are important for understanding trends, anomalies, or critical defects. Brief comments help interpret the data better.

#7: Review and Editing

The report should be reviewed for errors and logical inconsistencies. It is crucial to ensure the accuracy of the information and consistency of conclusions with the facts presented in the test report in software testing.

#8: Automating Report Generation & its sharing

Consider the possibility of automating report creation using specialized tools that integrate with testing platforms. This will allow data collection and the automatic generation of standardized reports. Also, ability to share report fast and for free with colleagues is a great benefit.

Automated Test Report Generation

Automated testing has become an established trend in the software testing industry. It involves using specialized tools to run tests with minimal human involvement, analyze the results, and create reports based on the test outcomes.

This type of testing is an integral part of every Agile team, helping meet the requirements for fast yet high-quality software products. Automation allows teams to improve productivity, identify bugs more effectively, and much more.

The development of automated testing significantly eases the work of testers and quality control professionals, saving time and effort during basic testing and repetitive tests.

Automated testing reports are a crucial element of the automation testing of your App. After executing automated test suites, the results become the primary for analysis. They provide information that helps determine whether the product is ready for release.

Modern test management platforms like testomat.io simplify report generation, enabling you to track the progress of quality assurance in real-time and evaluate results after each testing cycle. The tool optimizes the testing process by integrating all necessary functions into a single interface. It provides management and analysis of test reports by centralizing data from both manual and automated tests in one place. This integration makes it easier to monitor and control the testing process effectively.

Testomat.io Capabilities in Testing Reporting

The tool provides up-to-date data immediately after test completion. Testing progress is displayed using pie charts, execution curves, indicators, and heatmaps, allowing quick prioritization of tasks for developers and testers.

Run grouping tests and representation of their results performing in-depth analyses to forecast future stages.

Archive grouping. Storing test runs that enable tracking data history.

This test management system allows unlimited Artifact storage of videos and screenshots in any popular cloud storage, regardless of whether you are testing on your personal computer or specialized CI\CD platforms.

Note, that we implement an in-built Playwright trace viewer feature especially cool

Automatic notifications after test completion, results can be sent via email, Slack, MS Teams, or Jira included.

Public reports. Stakeholders don’t need to create an account to access test results – they can share a common HTML report.

Advanced deep analytics. The dashboard includes widgets for analytics, allowing you to track automation coverage, number of defects, test types (Ever-Failing, Slowest, Flaky, Never Run Tests), and links to Jira Issues.

BDD tool support allows writing test scenarios using Gherkin Syntax and automatically converting standard tests into the BDD format. Additionally, a History tab is available for analyzing version changes in scenarios.

Full Jira integration. With the Jira plugin, collaboration between developers and the testing team becomes easier: you can link defects to Jira Issues, send bug reports, and track bug fixes.

Finally, our win tool is your reliable assistant in creating high-quality software products through test automation, ensuring greater openness and transparency in team workflows.

You can meet all its functionality by following the link All Test Management features

CI\CD Test Automation Report

As software development evolves, test automation becomes increasingly important for enhancing efficiency and quality. This is particularly true for CI\CD, where automated testing has become a core element of the CI\CD process. Automation testing ensures reliable fast verification of code changes before deployment. What about CI\CD, it helps maintain high quality and stability of the software, makes development more efficient, and minimizes the likelihood of errors.

Together CI\CD automation, updates occur more frequently, while development environments are configured to ensure that issues are detected and resolved promptly.

Test management system testomat.io can be used to create a test report while tests are runner on CI\CD, helping to effectively organize and automate software testing process.

Best Practices for Creating a Test Report in Software Testing

Follow these recommendations:

1. Adapt the level of detail in the reports to the needs of stakeholders to provide the information they require.
2. Focus on achievements and improvements since the last report to show progress and boost the motivation of the testing team.
3. Identify risks and issues encountered during testing, and offer solutions to resolve them. This ensures transparency and a proactive approach to problem-solving.
4. Compare current test results with previous ones to observe progress and identify opportunities for improvement.
5. Base the report on accurate and verified data. Use cross-references to verify the information.
6. Reports should be team-friendly and promote knowledge sharing among all team members.
7. Highlight valuable insights at the beginning of the report, so stakeholders can quickly familiarize themselves with the most important data.

By following these approaches, reporting will become more effective and user-friendly

Challenges in Reporting During Continuous Testing

Reporting in the testing process can be difficult, especially when test results contradict one another. To produce reports that are both accurate and useful, the testing team must carefully collect data and employ effective tools for presenting it.

Manual test reporting during software testing is labor-intensive and can delay the software development life cycle. Converting test results into clear, understandable metrics and reports for stakeholders often becomes a challenging task.

Main challenges encountered:

1. Information overload. In large testing projects, creating detailed reports can result in an excess of data, making it challenging to emphasize the most important insights for stakeholders.
2. Report accuracy. The reliability of the reports is heavily influenced by the stability and completeness of the test data. Inaccuracies or missing details can undermine confidence in the reporting process.
3. Complexity of interpretation. Reports may be difficult to interpret, particularly for individuals lacking deep technical expertise. It is important to ensure clarity and accessibility when presenting results.
4. Time constraints. Preparing detailed reports requires significant time and human resources, which is a challenge for fast and frequent test cycles.
5. Low quality and traceability. When test reports, defects, and requirements are stored in different places, project managers find it difficult to make an objective assessment of the build quality and its readiness for release.
6. Limited disk space. Although formats like PDF, HTML, or CSV are practical for one-time use, their long-term storage can rapidly occupy substantial hard drive space.

Addressing these challenges can greatly improve the exchange of information about test results and progress, facilitating quicker detection and resolution of software issues.

Conclusion

A test report is an important tool for monitoring the state of the software and taking corrective actions to improve its overall quality. Well-structured test reports support progress tracking, early identification of issues, data-driven decision-making, adherence to standards, and smooth communication within the team. It also supports team collaboration, ensures a shared understanding of tasks, and fosters transparency, which is critical for complex software development.

The post Test Report in Software Testing appeared first on testomat.io.

Let’s discover more details about defect management best practices and tips in the article below

Defects in Software Testing

In software testing, a defect is any error or failure occurred in the software applications as a result of code errors, incorrect logic, inadequate implementation, or unexpected issues between various software components. These errors lower the practical value of software which leads to unpredictable results as well as poor and slow performance. You can also learn the key difference between defects and bugs here.

Let’s imagine the following scenario of testing E-shop:

1. Internet user wants to make a purchase
2. User adds items to the shopping cart
3. User presses a button to Buy
4. Fill in his payment data and follow the instruction

While testing the shopping cart, the team discovers a bug:

1. User enters payment information
2. The payment becomes unsuccessful, he can see a message a server errors

It has happened due to issues related to the gateway connection.

Finding true defects is always challenging. It is vital to dig deeper during the defect management process. This avoids misinterpretations and assures that the software meets users’ needs.

Mykhailo Poliarush, CEO, Testomat.io

Common types of defects

Categorizing these defects helps testers and developers address them effectively. Look into distingushing the different types of issues that may be encountered during the software testing process:

• Functional defects. These defects are issues in the software. They block the program features from working as expected and meeting its specs. Depending on the defect’s source, they can be logical, interface, or data errors.
• Non-functional defects. These defects are issues in the software. They hurt performance, security, usability, stability, and compatibility. Non-functional defects are categorized into performance, security, reliability, usability, and compatibility issues.
• Logical defects. These defects are errors in the software’s logic. They arise from flawed algorithms, incorrect assumptions, or poor design decisions. They lead to incorrect results or unexpected behavior. Common types of logical issues are calculation, data processing, and algorithm errors.
• Design defects (UX/UI). These defects are flaws in a UI or UX design. They hurt the user experience and reduce interaction efficiency.
• Data defects. These defects are known as problems with data. They reduce its quality and reliability. They come from various sources, like data entry errors and system failures. Also, there are faulty integrations.

Defect management in software testing

In testing, defect management is the systematic process that helps teams detect and eliminate software issues to deliver software products of high quality. By identifying, documenting, prioritizing, tracking, and resolving software issues, teams can guarantee that the final product meets project requirements and user needs.

While the goals of implemented defect management process can vary from one QA team or project to the next, the approach must be the same for every team. Every team should answer where to report, who to involve, how to fix and track, etc.

With well-organized issue management, development teams can maintain the software’s quality and reduce costs.

Why Defect Management Matters

We all know that high-quality software and happy users are a requirement for all kinds of businesses. And every business is trying to achieve this goal. Most companies end up with defect management practices. Here is why the management of issues is crucial for your business:

• It enables teams to quickly identify and address issues as well as enhance the speed and effectiveness of defect resolution.
• It encourages cross-team collaboration by helping QA, development, and testing teams work together smoothly to resolve issues.
• With a focus on prioritizing and fixing issues quickly, it allows teams to deliver high-quality software faster.
• It supports a structured, systematic approach and contributes to more reliable and stable software.
• Analyzing and understanding the root causes of defects helps teams proactively prevent similar issues in the future and reduce the risks upfront.
• With issue management in place, companies can adopt a culture of quality by prioritizing defect management and focusing on quality as a consistent priority across the project.

Best Practices and Tips for Effective Defect Management

Implementing defect management best practices allows organizations to significantly improve software quality. End up if they adhere to these guidelines, development teams can streamline their defect management processes, reduce development costs, and meet user needs in the final software product.

Software issues don’t come cheap. We know that someone pays for them. When adopting defect management best practices, we can prevent or minimize these costs.

Here’s a breakdown of the key stages of the process and defect management best practices for optimizing the process and achieving success:

#1: Identification

At this step, teams have a main focus on identifying as many errors as possible early in the software development process. They perform various types of testing – unit testing, integration testing, and acceptance testing. They also attempt to fix the bugs quickly and minimize potential future expenses related to the resolution process. What helps teams detect and identify issues more effectively is:

• Applying a comprehensive testing approach. When combining various testing types, teams can test as the whole App as well its individual components, check how components work together, and validate the entire system to find mistakes early at different stages of the development lifecycle.
• Opting for automated testing tools. With automation in place, teams can speed up testing and increase test coverage. They can also integrate automation tools into the CI\CD pipeline in order to perform frequent testing and detect issues early.
• Using test case management systems. Teams can use test case management systems like testomat.io. These tools can integrate with issue tracking systems and enable teams to easily link tests and test suites to specific tickets. They can also create defects directly from failed test results – whether from automated runs or manual testing. Test management system testomat.io seamlessly integrates with Jira, Linear, AzureDevOps, GitHub issue systems.
• Incorporating a quality-first culture. You should provide a culture where team members can train and educate on different QA principles and testing techniques. Also, you can encourage regular code review processes and tracking key performance indicators. If combined, this will foster early issue identification, efficient resolution, and the delivery of high-quality software.

#2: Logging

At this step, QA testing teams aim to document and record issues identified during the development process. They will use this defect information to prioritize and assign errors for further fixing. With detailed information, they can make sure that anyone in the team can recreate the issue. That’s why it is important not only to describe the expected outcome and the actual behavior but also to attach visual evidence – screenshots or log files for better understanding. It needs to specify the operating system, browser, and other relevant system details as well. Here is a simple example of a standardized issue reporting template, you can do it with an xls table in a Google spreadsheet:

#3: Triage

In this stage, the teams and all stakeholders involved aim to evaluate and prioritize issues. They classify issues based on severity (critical, major, minor, trivial) and priority (low, medium, high or urgent). This helps them make sure that human resources are focused on resolving the most critical issues first. For a more efficient and hassle-free triage process, the following defect management best practices and tips may help you:

• Scheduling regular meetings with representatives from development, testing, and product management to review and prioritize errors is important.
• Everybody in the team should use a standardized form to document issue details, severity, priority, and assignment.
• Utilizing issue tracking tools like Jira, Bugzilla, or Azure DevOps will help you better track and manage errors.

Test management system testomat.io supports the Advanced Defect Management analytics widget and issue defect linking options.

#4: Assignment

At this step, each logged issue is assigned to a specific developer or team. Assigned teams or team members will be responsible for fixing them. To resolve defects more efficiently, you need to do the following:

• Considering expertise, workload, and severity of issues. You need to consider factors such as developer expertise, workload, and severity of issues before assigning. It is essential to remember that experienced developers should fix critical bugs to guarantee a timely and effective defect resolution process.
• Balancing workloads. You need to regularly review the developer’s workload and assign issues accordingly to prevent burnout and maintain productivity.
• Automating notifications and reminders. You need to implement automated notifications and reminders to ensure the timely resolution of assigned issues among teams.

#5: Resolution

At this step, the development team prioritizes defect resolution based on severity and starts fixing them, marking it a critical phase in the defect management process. By using automated testing tools and frameworks, they resolve bugs more quickly and efficiently. They also utilize collaborative tools for more seamless communication between developers and testers. To improve the effectiveness of defect resolution, consider the following defect management best practices for this stage:

• Prioritizing based on severity and impact. You know that high-severity issues should be resolved first in order to maintain system stability. Only by prioritizing critical issues can you support software quality and reduce potential risks.
• Employing collaborative tools. With these tools in hand, you provide real-time communication between teams. This helps streamline defect verification and leads to efficient and effective defect resolution.
• Documenting fixes and updating statuses. You need to document each bug fix and update its status in the tracking system. This keeps all team members informed and allows testers to validate the fix as soon as possible.

#6: Verification

At this step, testing teams verify that the resolved defects have been fixed correctly and without introducing new issues. To make this process more effective, you should focus on the following defect management best practices:

• Thorough retesting. Once the defects have been fixed, you need to perform comprehensive retesting of the fixed to make sure they are resolved correctly and function as expected.
• Regression testing. To maintain overall system stability, you need to detect any unintended side effects of the fix on other parts of the system with regression testing.
• Test case design. To cover all relevant scenarios, you need to create appropriate test cases to confirm that the issue has been fully resolved under various conditions.
• Issue status and documenting results. You need to remember to update the issue’s status in the tracking system and document the results of the verification process.

#7: Closure

At this step, verified issues are formally closed. The team confirms that all necessary checks have been completed and the issue is fully resolved. To close defects effectively, you need to consider the following defect management best practices for this stage:

• Gathering final approvals. It is essential to get confirmation from all relevant stakeholders, – testers and quality assurance leads to verify that the issue has passed all necessary retesting and regression testing and meets closure criteria.
• Updating documentation and issue status. Do not forget to update the issue status in the tracking system and related documents.
• Reviewing the issue. After an issue is fixed, you need to take a quick look to see if it reveals anything that could help in future process improvement.

#8: Reporting

At this stage, you can get valuable insights into the overall software quality and reveal areas for improvement within the development and testing processes. With a well-structured defect report, you can identify trends and root causes as well as discover areas for process optimization.

Here is a breakdown of how issue reporting in the defect management best practices contributes to continuous improvement:

• Identifying quality trends. When it comes to categorizing defects based on their frequency and severity, you can reveal patterns in recurring issues by analyzing where these defects occur. Whether it is in the UI, database, APIs, or specific features, this analysis helps teams identify potentially vulnerable areas and focus future testing on high-risk zones.
• Performing root cause analysis. When conducting a root cause analysis, teams can uncover reasons for design flaws, coding errors, or insufficient test coverage. With shared regular feedback, development, and testing teams can better identify and address recurring issues to reduce the likelihood of similar defects in future releases.
• Evaluating testing strategy. If many bugs are identified during later phases of testing (e.g., integration or user acceptance testing), it may indicate gaps in the earlier stages of testing. That’s why teams need to reassess the test strategy for better coverage and early issue detection in future cycles.
• Defect tracking. By tracking metrics such as defect density and leakage rates, teams can quantify software quality and identify areas for improvement. You can analyze defect resolution times to highlight bottlenecks (slow response times from the development team or inefficient workflows) in the defect management process and optimize it.
• Preparing for release. With defect reporting, teams can evaluate whether the software is ready for release by tracking the status of issues against the release criteria. If certain defects can not be fixed in time, teams must decide whether to release or delay.

If your issue management does not work properly, it can lead to inefficiencies, misunderstanding among teams, and even missed product releases. Not to mention all the extra time and dollars you will spend on fixing the bugs. That’s why you need to adopt defect management best practices to better track, assign, and resolve issues. The more efficient the process is, the faster you can deliver the final software products.

Defect Metrics to Monitor

Metrics are a valuable tool in defect management best practices that are worth investing time and effort. To answer day-to-day questions about the health of an issue process, you need to use appropriate metrics. Here we are going to overview the most popular metrics used during the defect management process:

Defect Density

This quality metric is used to measure the number of issues per unit of functionality. It helps assess code quality and pinpoint areas for improvement. You need to remember that lower defect density signifies higher quality.

Defect Detection Percentage (DDP)

This metric is used to calculate the percentage of issues found during testing vs. after release. By measuring the effectiveness of testing processes, a higher DDP signals earlier bug detection and reduced risk of production issues, contributing to overall software quality.

Escaped Defects

This quality metric is used to measure defects found after software release. It monitors the number of defects that were not identified during the testing phase.

Defect Leakage Rate

This metric is used to track the percentage of issues that escape into production. It measures the ability of the QA process to identify and prevent defects.

Defect Rejection Rate

This metric is used to evaluate the level of misclassification in defect reporting. It shows the efficiency of the issue reporting and triage process.

Mean Time to Detect (MTTD)

This metric is used to monitor the average time to identify a defect. It measures the time taken to identify and report defects.

Mean Time to Resolve (MTTR)

This metric is used to track the average time to fix a bug. It assesses the efficiency of the development team in resolving defects.

There’s a lot to consider when monitoring, so teams should use numerous metrics to gain a deep yet broad understanding of code quality, testing effectiveness, and issue resolution times, so to meet more metrics you can in the next pages of this testing blog:

• Guide to the Basics of Software Testing Quality Metrics
• Key Software Testing Metrics & KPI’s

Benefits of Defect Management

Here we are going to present the benefits you can realize with the defect management process:

• You can develop and launch software of high quality and catch issues before they escalate by finding and fixing issues early in the process.
• You can speed up defect resolution and accelerate software releases thanks to streamlined issue tracking and well-organized communication and collaboration across teams.
• With a well-polished process, you can minimize costly and late-stage bug fixes by optimizing resource use and lowering expenses on the project.
• Delivering reliable, high-quality software builds trust with users and increases customer satisfaction.
• You can learn from past issues and spot trends so that teams can refine their processes and prevent recurring errors.

Limitations of Defect Management

While defect management offers numerous advantages, it is not without its limitations. Let’s review them below:

• If you do not handle the defect management process correctly, the software development cost will rise.
• If you do not manage issues early, the defects can cause more damage.
• If the process is not done correctly, your company could lose revenue, customers, and brand reputation.
• If you overload your teams with a high volume of bugs, it can lead to decreased productivity and burnout.
• If bugs remain unresolved, you face performance issues, security vulnerabilities, and dissatisfied users.
• If you do not carefully fix bugs, there is a risk of introducing new issues and a more complex and time-consuming issue resolution process.

Bottom Line: Ready to use Defect Management Best Practices?

Only by properly managing this process, teams can keep projects on track. That’s why they should adopt defect management best practices and useful tips to enhance their workflow and improve the overall process. Following these defect management best practices not only boosts software quality but also helps reduce development costs and launch reliable and error-free software products. Enhancing your defect management process is possible with the powerful capabilities of our test management tool:

If you have any questions about implementing defect management best practices together us and our test management solution, drop us a line without hesitation.

The post Defect management best practices appeared first on testomat.io.

Jira reporting provides diverse information that allows users to analyze data about project issues, team productivity, project progress, and other critical aspects. Users have access to built-in Jira reports, third-party tools for report generation, and customizable report dashboards. This flexibility meets the needs of any team, regardless of its goals or project scale.

Also check out related topics:

• The Ultimate Jira Bug Tracking Tool Tutorial
• 10 Best Jira Alternatives for Test Management
• What are Three amigos in Agile?

How to Create Jira Reports?

Jira reports are available to Jira Data Center, Jira Server, and Jira Cloud users for managing their projects. Such diversity is beneficial for teams. Do you agree? Moreover, generating built-in Jira reports is easy.

Jira: create custom reports in three steps

To generate built-in Jira reports, follow these steps:

1. Select the project you’re interested in.
2. Click the Reports button.
3. Navigate to the specific report and start working.

See more about Jira integration with testomat.io test management in this video: Jira integration tutorial

Now, let’s dive deeper into the wide range of reports offered by this popular project management system.

Jira Reports Tutorial: Types of Built-In Jira Agile Reports

Jira software offers different types of built-in reports that allow you to generate reports without additional configurations or installations. As you can see, these reports can be grouped into the next main categories:

• Agile reports. Here the Cumulative Flow Diagram & Control Chart reports belong.
• DevOps. It provides insights into the performance of software delivery pipelines, tracking metrics that reflect the effectiveness of DevOps processes.
• Issue Analysis Reports. These reports help project teams manage project issues effectively.
• Forecast and Management Reports. These simplify workflow management by allowing you to monitor workload, team progress, etc.

A variety of Jira reports on my project look like:

Below, we list the standard Jira reports and explain how to generate them, helping you understand how they can assist in your specific needs.

Average Age Report

Average Age Report is one of the Jira Custom Reports that your team definitely need. This report tracks how long open issues remain unresolved in a project. It helps the team ensure the backlog is up to date. Additionally, this report can be used to predict the resolution time of specific issues, identify bottlenecks in product development, and determine team members with lower productivity.

Custom Jira Reports | Created VS Resolved Issues Report

This report compares the number of created and resolved issues over a specified period. It helps monitor the size of the product backlog. The report is presented as a chart, with red indicating periods where the number of created issues exceeds the resolved ones. If resolved issues dominate, the area is shaded green.

Pie Chart Report

Pie Chart Report – One of the Brightest Jira Reports Examples. This report is a pie chart displaying all project issues grouped by a specific parameter. For example, you can view the status of tasks being worked on by a specific assignee. The visualization provides an overview of the project’s progress from a single view without the need to analyze large amounts of historical data.

Recently Created Issues Report

Recently Created Issues Report – One of the Jira Bug Reports. By generating this report, you can track the number of recently created issues and the number of resolved issues for the same given time period. This information helps determine whether the team is managing existing tasks or if workload management optimization is needed.

Resolution Time Report

Resolution Time Report is an example of Custom Reports in Jira, too. These reports reflect how much time is required to resolve a specific set of issues. You can view the results for the entire project or filter by issue type and focus on selected Jira data. This helps accurately predict project timelines and adhere to projected release dates.

Single Level Group By Report

Single Level Group By Report is one more example of a useful Jira Software Report. This report allows you to group all project issues by a specific parameter and view the results for each group. For example, you can create reports based on issues assigned to a particular assignee or those in a specific status.

Time Since Issues Report

This report allows tracking the time spent on resolving an issue within a particular project version.

The report visualizes time tracking results using a bar chart. One bar – the progress bar – shows the ratio of resolved to unresolved issues. The other – the accuracy bar – displays how closely the original estimate matches the current result.

For effective time tracking, this representative of reports in Jira includes four custom fields:

For effective time tracking, the Time Since Issue Report includes four fields:

→ Original Estimate – the time planned to complete the issue.
→ Estimated Remaining Time – the estimated period the team expects to complete the assigned tasks.
→ Time Spent – the time the team has already spent on resolving the issue.
→ Accuracy – the difference between the planned completion time and the actual result.

These were reports for issue analysis, now let’s move on to management reports that help organize work on a project.

Users Workload Report

To see the workload assigned to a specific user, you need to generate the users’ workload report. It also shows how many unresolved issues remain with this employee and how much time they need to complete them.

Jira Reports Examples: Version Time Tracking Report

This version report shows the progress of work needed to complete a given version. Work logs and time estimates are used for report generation.

Version Workload Report

This report provides information on the workload needed to complete the version. All tasks can be grouped by a specific issue or user, displaying each employee’s workload and the total number of unresolved issues for the given version.

Workload Pie Chart Report

Workload Pie Chart Report is one of the Jira Service Management Reports. This report displays the workload of all users within a specific project. Filters can also be applied to view only the data you are interested in.

Time Tracking Report

This report is highly flexible – users can customize time tracking parameters as needed. It displays original and current time estimates and helps plan the project’s work efficiently. For the team’s convenience, all data is presented in a chart showing planned, remaining, and spent time.

Note: To access this report, make sure the administrator has enabled time tracking.

Optimizing Development with Agile Reports (Jira)

A separate category of Jira reports is specifically designed for teams practicing Agile methodologies. Let’s take a closer look at them.

These reports help Agile teams answer key questions on their path to achieving goals:

• How much work is being completed per sprint?
• How efficient is our workflow planning?
• Are we getting closer to achieving the sprint goal?
• Are enough issues being processed in each sprint?
• How long does it take my team to deliver value?
• Is our project management effective?
• What are our potential bottlenecks?
• etc.

Agile Jira Reports and Dashboards Include Jira Sprint Reports and Others:

• Scrum Board. This tool offers reports for Scrum teams. Developers working in iterations (sprints) can easily create and view reporting, with the ability to track one or multiple Jira projects.
• Kanban Board. This tool is for Kanban teams focused on workflow transparency and evenly distributing workloads among team members. It also allows you to monitor multiple software projects and manage reports effortlessly.
• Control Chart. Displays two key metrics. Cycle time – the total time spent on an issue, including time to complete and any rework after reopening the issue. Lead time – the time from issue creation to its completion. The report can be generated for the entire project, a specific version, or sprint.
• Cumulative Flow Diagrams. These diagrams visually show unresolved issues for a project, version, or sprint.
• Burndown Chart. Compares the planned amount of work to the actual resolved issues during the current sprint.
• Sprint Report. This report contains a list of Jira issues for a specific sprint. It’s helpful to generate this report before a retrospective for in-depth analysis of results. It also helps track project progress when the sprint is still ongoing.
• Velocity Chart. This chart displays the team’s velocity, or in other words, the team’s productivity during a sprint – the value they can deliver in one iteration. By calculating velocity over time, you can predict future performance and determine how much work is realistic for your team.

In addition to standard reports, Jira offers other features that simplify data analysis on a project.

Jira Gadgets Available to Users Out of the Box

Jira provides dashboards where various gadgets can be placed to help monitor key project metrics. These gadgets allow you to visualize progress, results, and easily search and evaluate Jira issues.

Here’s a list of the most helpful and frequently used pre-installed gadgets:

• Activity Stream Gadget. Displays details of your recent activity.
• Assigned to Me. A gadget that gives access to all issues and projects assigned to a specific user.
• Calendar. Shows all versions and Jira issues in a calendar format.
• Heat Map. Displays the relative importance of issues retrieved from a relevant project or based on a specified filter.
• Road Map. Aggregates information about all planned versions and the progress of tasks needed to complete them.
• Time Since Chart. A bar chart that visualizes information about all issues that have been recently updated, such as changes in status to Created, Resolved, Updated, etc.
• Sprint Burndown Gadget. A convenient line chart that shows project progress – the amount of work completed during a specific sprint.
• Average Age Chart. Like the corresponding report, this gadget displays the period issues remain unresolved. Data is shown in a histogram format.
• Average Time in Status. Unlike the previous one, this gadget allows you to track the time issues spend in any status.
• Issues in Progress. Gathers information about all issues that a specific user is working on during a given period.

Since all of the above Jira gadgets are pre-installed, no additional configuration is required for their use. All you need to do is follow three simple steps:

1. Select the desired Jira dashboard and click the “Edit” menu.
2. Click the “Add Gadget” link.
3. Find the gadgets you want to add to your Jira dashboards.

If your gadget search doesn’t yield the desired results, you can create custom gadgets that fully meet your team’s reporting needs.

Third-Party Tools for Extending Jira Functionality

In addition to developing custom gadgets, you also have another option to extend Jira’s reporting capabilities by installing third-party external reporting tools created by external developers.

Here’s a list of the most popular tools used by Agile teams:

Arsenale Dataplane Jira Dashboard Reports

This intuitive and powerful plugin allows corporate teams to generate comprehensive reports. It offers customizable reporting, data visualization with charts, adding reports to dashboards as gadgets, and more. You can easily share reports with colleagues via Confluence or export results to PDF, XLS, and CSV files.

eazyBI Reports and Charts for Jira

One of the most popular third-party reporting apps for Jira, it allows teams to visualize data through heat maps, graphs, tables, charts, and trendlines. With eazyBI, you can integrate data from Jira and other apps used in the project and accumulate them on interactive dashboards. The tool also enables data analysis through filters, exploring details, and highlighting the necessary areas.

Timesheets by Tempo – Jira Time Tracking

This AI-based time tracking app automates tasks, reducing time consumption and simplifying workload management. Timesheet report allows monitoring time and expenses by project, client, or team member. The app provides real-time insights, making resource planning and expense control easier.

Time Tracking And Billing Reporting

Another tool that simplifies time tracking on a project. It helps you track your working hours and those of your team members. The plugin also allows you to monitor and plan expenses. Use ready-made templates, view charts, filter data by various parameters, and add gadgets to dashboards. These features significantly streamline the workflow.

Report Builder by Actonic Products GmbH

This plugin enables the creation of custom reports that cover all the key aspects of project work. It allows you to track project progress, time spent, and team productivity. You can also use templates for Jira issue analysis reports to create reports tailored to your project’s needs. With its visualization capabilities and intuitive interface, the tool is helpful for business process management.

All the above-mentioned reports easily integrate with Jira’s issue-tracking system, greatly expanding its capabilities. They allow you to customize your reports, automate project management, and share results with your team and stakeholders.

The Value of Jira Cloud Reports
How to Create Reports in Jira and Benefit From It?

Jira stores vast amounts of data across various projects. The ability to properly analyze and manage this data enables teams to achieve impressive results. This is made possible through Jira reports, which offer several benefits:

• Objective Project Evaluation. With Jira reporting, you can evaluate different aspects of project work. These include the quality of issue resolution, team productivity, sprint details, project progress, and more. The wide range of available data allows you to identify meaningful trends and patterns, using them to improve project management in the future.
• Making Effective Data-Driven Decisions. Thanks to extensive data and deep analytics capabilities, you can make well-informed decisions based on historical data. Jira reports provide a reliable foundation for forecasting future sprints, including estimating the necessary period of time, projected expenses, and user workload. Access to large datasets also helps you pinpoint bottlenecks and work on resolving them.
• Better Team Collaboration. Jira reports have a clear format and offer visualization options. This makes it possible for all team members, including non-technical specialists, to fully participate in the development process. Close collaboration allows for more effective problem-solving, the implementation of innovative solutions, and faster releases of high-quality software products.
• Transparency in Work Processes. With Jira reports, all users can track their workload and monitor assigned tasks. By reviewing reports, everyone clearly understands their roles and responsibilities and is aware of both personal and team deadlines.
• Improved Efficiency. Among other things, Jira reporting helps identify the areas of a project that consume the most time. Determine the causes of delays and work on consistently improving your productivity. Over time, this will positively impact the overall efficiency of the entire team.

Jira reporting for test management

Jira is already widely used for project management and issue tracking. QA teams are looking for Jira plugins for test management, to link requirements with their tests with them. It provides a holistic view of the development of the project and makes it easier to track its progress.

Popular Jira test management plugins include Xray, Zephyr, TestRail TestFLO etc. Each offers specific features to enhance testing workflows. The testomat.io Jira Plugin is a modern alternaative.

Testomatio test management Jira Plugin benefits

• Customizable Workflows. Our test management plugins allow the creation of customized workflows for test management, enabling teams to tailor the process according to their specific needs.
• Automation Support. Integration with popular test automation frameworks, enabling automated test execution results to be logged and tracked in Jira, streamlining continuous integration and DevOps processes.
• Real-time Collaboration. Updates on test statuses, bug reporting, and test execution are being reflected instantly within the Jira bidirectional integration. Plugin supports BDD as well.
• Real-time Test Reporting. Jira plugin offers powerful reporting capabilities, allowing users to generate reports on test execution, defects, coverage, and more. This helps in tracking quality metrics efficiently.

It is best for teams using both automated and manual testing, including DevOps or CI\CD setups. Advanced reporting and integration with numerous other tools make it ideal for complex test environments. There are no depends on the size of your team, the complexity of your testing requirements, and whether you prioritize manual testing or a mix of manual and automated testing.

Let’s have a look now in more detail:

Advanced Analytics Dashboard with a wide set of metrics is crucial for a test management system because it provides Real-time visibility test progress and quality, helping teams make informed decisions about release readiness while optimizing the testing process. Among the testomat.io widgets key is the Jira Statistic Report. It showcases statistics of tests linked to requirements.

You can easily track how each requirement is linked to tests, including which tests are planned, executed, their frequency, and status results. A filter with advanced settings helps you quickly find specific tests or requirements. The Jira Plugin is bidirectional, allowing you to click on a requirement and be directed to Jira, similarly, user stories added in Jira automatically appear in the test management system.

You can track a full list of tests linked to one user story and check its status accordingly. Jira Plugin allows sync automated tests as well. So, the role of TCMS is one source of truth for manual, automated testing and requirements. Building one complicated report is easy.
Status of particular test Run of specific requirement card on the test management system.

List User Stories in the Jira Plugin. Advanced filters with TQL are available as well to find needed requirements quickly.

The highlight is that you can execute tests directly with Jira, without switching to the test management system, even on CI\CD pipelines. This feature makes it easy to engage non-technical team members like Project Managers (PM) and Business Analysts (BA) in the testing process, streamlining collaboration across the Agile team.

As you can see, the testomat.io Jira Plugin is a robust Jira Test Reporting tool designed for QA engineers. It ensures quick data processing compared with competitors. Test execution status notifications are mainly automated, making testing more efficient. Especially, it likes test automation engineers.

Bottom Line

Reports in Jira are an essential feature of the project management system. They allow teams to create custom reports at individual, team, project, and multi-project levels. With their help, you can gather data on various aspects of the development process, from issue analysis to expense management.

The versatility of Jira reporting is key to solving emerging problems and better forecasting future activities.

The post Detailed Guide on Creating Jira Reports for Your Team appeared first on testomat.io.

What is WebDriverIO?

WebDriverIO is the leading test automation framework for both web and mobile applications. It is written in JavaScript and runs on NodeJS.

WebDriverIO – is an independent framework, which means any corporate interests don’t influence which way it should be developed and where it is supposed to go. In fact, it is a unique tool in comparison to many automation tools. WebDriverIO is a definitely open-source project that evolves within open governance and is owned by a non-profit OpenJS Foundation.

A vast NodeJS community around the world helps the framework grow with new capabilities and cares about its stability. Followers communicate within Gitter Also you can ask your ques within Stack overflow. There are more than 500+ discussions there. You can see many useful links on the official Resource page in one place.

Automation testing with WebdriverIO

WebDriverIO is a flexible and powerful automation framework with good documentation, functionalities a variety of plugins and good support as we just mentioned before.

Extract from official Docs, it emphasises wdio is designed to be:

• Extendable – adding helper functions, or more complicated sets and combinations of existing commands is simple and really useful
• Compatible – testing framework coded with wdio possible runs on the WebDriver Protocol for true cross-browser testing as well as Chrome DevTools Protocol for Chromium based automation using Puppeteer.
• Feature Rich – the variety of built-in and community plugins allows QA teams to easily integrate and extend your setup to meet the requirements of Agile SDLC.

Thus, WebDriverIO is perfect choice to automate E2E tests for modern JavaScript web applications. As it is built in NodeJS, testers and developers can automate their test scripts using JavaScript, as well as with TypeScript (it is up to you). And at the same time, they can do it in a fast and reliable way. The tests performed on WebDriverIO are simple and concise.

Especially this applies to web applications designed:

• Modern frontend frameworks – such as React, Vue, Angular, Svelte etc.
• Hybrid mobile applications – empowered by iOS and Android applications using Appium, for instance, the Ionic JS framework or native mobile applications running in an emulator/simulator or on a real device.
• Native desktop applications – designed with Electron.js for Windows and macOS.
• Unit or component testing of web components in the browser.

WebDriverIO is appropriate for both Behavior Driven Development (BDD) and Test Driven Development (TDD) which one more time makes opt for it for automation testers.

To start with WebDriverIO, you need just 2 CMD commands

Look at the code extract and check out by yourself how you can initialize WDIO testing project and run your first wdio auto test really per a few clicks:

npm init wdio . //initialize WebDriverIO 
npm init wdio ./path/to/new/project /* create a project with the basic structure
in a designated folder */
yarn create wdio ./path/to/new/project //create a project with yarn packages
npx wdio run ./wdio.conf.js // run tests

Amazing! Great implementation of the idea by wdio development team, isn’t it?

The first command downloads the WebdriverIO CLI tool that wizard you to configure your test suite by prompting a set of questions that guides you through the setup. You can pass a –yes parameter to pick a default set up which will use Mocha with Chrome using the Page Object pattern. CLI also provides information on all available third-party framework adaptations, reporters, diverse services, etc.

And the second command runs your tests, by default it is the first login test. More detail with adding parameters running test scripts in Docs

Why do many QA teams choose WebDriverIO?

Eventually, in one voice, QA engineers note advantages, and we made an attemptе to categorize them. Keep these in mind when looking for a solution for your testing framework.

Benefits of test automation with WebdriverIO:

• Parallel test execution and cross-browser test automation. WebdriverIO is based on Web Standards, is supported by all browser vendors and guarantees a true cross-browser testing experience with all major browsers Chrome, Firefox, Edge, Internet Explorer, and Safari.
• Supports integrations to Chrome DevTools and Google Lighthouse, which are widely used developer tools.
• Diverse selectors and auto-waiting mechanism are able to cover common user interactions.
• Convenient test runner comes with a CLI play great utility tandem thanks to their configuration potency. This contributes to extendability due to the possibility of adding helper functions, building more complex combinations of available commands and even the ability to create your custom commands.
• Integration with commonly used Cloud and CI/CD tools. Can be used locally, as well as in the cloud, through services like Sauce Labs, Lambdatest or BrowserStack.
• Carries multiple reporters like Junit, Allure, Spec, HTML, Video, JSON and custom reporting to your convenience.

Sync WebdriverIO tests with manual testing

Since WebdriverIO is a loved tool by many test engineers, the testomat.io team didn’t want to be left out and implemented integration with it as a part of the Test automation Integrations group.

Seamless WebdriverIO integration helps many Agile teams bring their automation test management to the next level. Makes testing and debugging of the testing framework scripted with WebdriverIO a lot more efficient for our customers. Automation QA engineers are able to easily import their tests into the test management system and make them visible to the whole team.

Finally, they can collaborate with non-tech teammates in one space before they difficulty achieved a common understanding.

Let us show you how everything works

Getting started WebdriverIO from example

Our team prepared a bunch of Demo projects for success starting with the testomat.io TCMS. Besides WebdriverIO following through the link, you can find Cypress, Playwright, Cucumber, Jest, CodeceptJS and other examples of testing frameworks. Download the needed project there and try how it works by yourself.

These are the steps you need to follow to run the example in testomat.io test management:

Before exploring how to run WebdriverIO tests with test management, first of all, the prerequisites mentioned below have to be met.

Prerequisites for WebdriverIO testing framework

Check the NodeJS version, enter the following commands:

$ node -v

Install NodeJS or update the NodeJS, by entering the following command in project directory:

npm install --save-dev

If everything goes without errors, let’s head Step by Step!

#1 Create a new test project

Start by Sign Up or Sign In to the TMS, and then create your test project by honouring the system tips. We begin by writing the project name and choosing a classical type of project, as in the picture below. You may configure your WebDriverIO test project using different settings according to your testing frameworks, such as Chai or Mocha, JavaScript language or TypeScript, classical project or BDD. You will bump all these options as we go along.

After you create your project, get into it. Select Import Automated tests on the dropdown menu in the top right corner. Thanks to the Advanced Importer you can import your automated tests to the test management system with a few clicks and make them visible there for the whole team.

Configure import according to your testing project. For instance, we chose a project using WebDriverIO with Mocha and JavaScript option.

#2 Generate API key and import autotests

Our TCMS is a wise tool. TCMS recognizes your laptop OS and generates a command with API key according to it. You should copy this command and execute it on CMD. This one uploads your WebdriverIO tests from source code to test management.

Look at the console, how the importer analyzes code accurately and displays the number of founded tests in the test framework. If you enter your project, you will see these tests. You can view their structure by expanding the tree. You may enter your suites and check test cases inside.

Now you can synchronize your manual tests alongside automated tests scripted with WebdriverIO in one place and get aggregated test result reports and analytics. Even the number of tests increases significantly – custom labels and tags help organize them conveniently. Sort, Change order, Filter and Search test cases quickly in scale.

Please note: with each new import, the intelligent importer will analyze test cases present in it or not. If there are no new test cases in the test management system yet, you will add new ones. These tests will be marked as out of sync by TCMS. Vice versa, if they are not in code, they will be marked as detached test cases. You might check them and delete unnecessary tests.

#3 How do I create a report in Wdio?

Track test results to test management with our advanced reporter. Test management testomat.io reporter connects with WebdriverIO an open-source test automation tool. Copy and paste this command into CMD to install reporter:

npm i --save-dev @testomatio/reporter

#4 Configure .conf file:

We suggest adding our reporter (test management plugin) along with existing reporters in wdio.conf.js. For this purpose copy configuration suggested by TMS to the project which can find out in the DEMO project as well.

const Testomat.io = require('@testomatio/reporter/lib/adapter/webdriver');

reporters: [
[Testomat.io, {
apiKey: process.env.TESTOMATIO
}]
],

#5 Execute WebdriverIO scripts

You are ready now to run your WebdriverIO tests with test management. Execute WebdriverIO scripts and receive results synced in test management.

Run the following command from your project folder:

TESTOMATIO=<API key> npx start-test-run -c 'npx wdio'

Once the tests have finished running, the CLI will generate a report link. Test results will appear through the console on the test management dashboard. Share this test result link with stakeholders by email or messengers. Choose whom available detailed report. The type of public report does not contain security-sensitive info.

We have performed tests oft, and each of these runs saves some historical data.

We can analyze the results of running tests using advanced analytics. The following testing metrics are available on the Project Analytics dashboard and Global Analytics dashboard. Our team are currently working on expanding with new widgets.

A key characteristic of the CI/CD pipeline is the use of automation to ensure code quality. Rich reporting and real-time monitoring are essential to understand and quickly address any problems, especially matters to CI/CD pipeline. Collection and gathered statistics and metrics are necessary. Pipeline successes and failures, as well as how long each test ran can be measured by key indicators and stored in Runs history over time.

Analytics shows the history of your test runs and failures, flaky tests, slowest tests, never run tests as well as test automation coverage of your test scope.

Statistics are gathered by collecting all available test run results for the project and tags which are marked test cases. Analytics data is available on a paid subscription. You are able to filter and sort your test cases from a low to high rate or by tags.

In detail, we describe each step precisely and in order in official Documentation as well. Check it for more options.

Running WebdriverIO test on CI\CD

QAs can run their tests in the cloud and on CI\CD besides on a local machine. CI\CD test execution carries out testing delivery much faster.

Moreover, if you set up a CI\CD integration connection, you can run your tests immediately from the test management system, and non-technical specialists directly from Jira.

So, our test management solution support running wdio tests on CircleCI, AzureDevOps, Jenkins, GitHub, Gitlab, Bamboo etc.

• Running WebdriverIO test on GitHub Actions CI
• End-to-end testing with GitLab CI\CD and WebdriverIO
• WebDriverIO Integration With Cucumber
• Test Automation with CircleCI & Reporting
• Automating Tests in Azure Pipelines

Comparison table: WebdriverIO VS Cypress VS Selenium

Most of today’s software development job openings request JavaScript knowledge to be used for test automation, given the many advantages of JavaScript automation tools like WebdriverIO, Cypress, TestCafe, Nightmare, CodeceptJS, Playwright and BDD Cucumber.

As you can see by yourself, our testing tool offers a great alternative to test reporting for all these test frameworks, and much more it helps you keep your tests in a clear organizational structure.

The test case management tool testomat.io has a free subscription forever, so you should not worry you lost your tests. They will be stored securely.

Let me know what you think about this setup, and/or if you have any questions, please do not hesitate to post them below. Thank you for taking the time to read my article.

The content is available also in video format if you convenient reproduce the steps to visualize your tests and get an informative report by watching.

The post WebdriverIO extensive reporting and more with test management appeared first on testomat.io.

A Heat Map (or Heatmap) is a graphical 2-dimensional format representation of data where values are depicted by color.

Heat maps make it easy to visualize complex data and understand it at a glance.

In other words, Heatmaps is about replacing numbers with colors because the human brain understands visuals better than numbers, text, or any written data.

In Software Testing color give visual cues about how data are clustered or varies over the testing process.

Heatmaps can describe the density or intensity of variables, visualize patterns, variance, and even anomalies. Heatmaps show relationships between variables.

Color variation gives visual cues to the readers about the magnitude of numeric values.

These Heatmaps are data-driven “paint by numbers” canvas overlaid on top of an image. The cells with higher values than other cells are given a hot color, while cells with lower values are assigned a cold color.

6 interesting facts about Heatmaps:

1. The practice we now call heat maps is thought to have originated in the 19th century, where manual grey-scale shading was used to depict data patterns in matrices and tables. See, original Heat Map of the 19th century, where manual grey-scale shading was used to depict data patterns in matrices and tables.
2. Spectrum rainbow colors are best perceived, so nowadays we can see colored models. Note, good color schemes help you see structure in numeric data. Lighter colors correspond to smaller amounts and darker shades to larger values, or vice versa.
3. The term “Heatmap” was first trademarked in the early 1990s, when software designer Cormac Kinney created a tool to graphically display real-time financial market information.
4. In the Software Testing, the first mention was for prediction of the reliability of large software products, the technique was evaluated on Microsoft Vista and Eclipse.
5. Heatmaps are the most commonly used for studying genomes to represent the level of expression of many genes.
6. Also, Heatmaps are popular in marketing researches and sales. In testing as a website UI/UX testing, A/B testing, Performance testing.

What is a website heat map?

Website heatmaps visualize the most popular (hot) and unpopular (cold) elements of a webpage using colors on a scale from red to blue.

Displays user behavior, heatmaps facilitate data analysis and give an at-a-glance understanding of how people interact with an individual website page — what they click on, scroll through, or ignore—which helps identify trends and optimize for further engagement.

So, website heatmaps are popular to carry out UX/UI testing and A/B testing, Performance testing. Visualize users’ preferred browsing and shopping behavior etc.

The benefits of using heat maps:

• Visualization makes it easy to spot strong dependencies. Yeah, it is essentially a kind of a Real-Time report.
• Shows patterns and data dependencies.
• Display changes over time.
• Heatmaps help locate hidden errors, understand the problematic parts of the product under development.
• Based on these, QA Engineers uses Heatmaps for prioritizing test effort with the early warning.
• Stakeholders for making the right decisions.
• Businesses can improve systems by identifying, monitoring and correcting anomalies.

Summary

Heatmaps represent data in an easy-to-understand manner to communicate to team members or clients. Thus visualizing methods like HeatMaps have become popular.

Testomat.io Test Management System provides Test results Heatmaps by test suite on Test Reports. Heatmaps shouldn’t be used apart. Good practice correlate them to analytics and the context of your research, what we successfully developed into our Test Management tool as well. Rich Analytics is available in Professional, Enterprise and in Free Trial plans

Analytics widgets include:

• Flaky Tests
• Slowest Tests
• Never Run
• Tests Ever
• Failing Tests

…and many more.

The post Heatmap for test result visualizing appeared first on testomat.io.