Introducing TestMu AI Analytics: Test Reporting Made Awesome 📈

Get A Birdeye’s View Of All Your Tests

The Test Overview module lets users get an overview of the tests running on TestMu AI. This module covers the essential details about each test, including its inconsistencies, total number of executions, and categorization by Status and platform.

You will get access to 7 widgets under the Test Overview module. These are:

• Test Case Health Snapshot
• Test Summary
• Test Browser
• Test OS
• Test Trends
• Test Device Coverage [App Automation specific]
• Test Status Ratio

Let’s discuss these widgets in detail.

Test Case Health Snapshot

The Test Case Health Snapshot widget gives the user a clear picture of the performance of tests on the platform. This widget lets users easily track the number of tests that consistently pass or fail, illustrating their inconsistencies over time. With this widget, the user can understand the health status of the test cases run on the platform for a specific environment.

Test Summary

The Test Summary widget lets you track the total number of tests being run on the platform, grouped by their Status. This widget also includes information about the errors encountered, including test case errors, idle timeouts, queue timeouts, and Testmu errors.

Test Browser

The Test Browser widget displays the overall distribution of tests on various browsers on the platform. It can be used to analyze the results by selecting a particular browser, which will display information about the specific versions of that browser where tests are executed. With this, the user can determine if any test cases are failing for a particular browser and get information about the test logs.

Test OS

The Test OS widget displays the overall distribution of tests on various Operating Systems on the platform. It can be used to analyze the results by selecting a particular Operating System, which will display information about the specific versions of that Operating System where tests are executed. With this, the user can determine if any test cases are failing for a particular Operating System and get information about the test logs.

Test Trends

The Test Trends widget makes it easy for users to analyze the trends of tests executed on the platform over a period of time. By selecting a legend at the bottom of the graph, the user can compare current trends with previous trends. You can interact with the graph and change the view in various formats like hourly, weekly, daily, and monthly.

Not only this, but users can also change how they want to view their test data graph. They can change the view from Line graphs to Bar graphs and even get the option to download/export graph widgets in various formats (SVG, PNG, and CSV). Also, users can specify the test data execution timeline to find information about a specific period.

Test Device Coverage

Test Device Coverage is an App Automation-specific widget that displays the distribution of your tests on various mobile devices. It displays information about specific models of mobile devices where the tests are being executed and further categorizes the distribution by selecting a particular model.

Test Status Ratio

The Test Status Ratio widget seamlessly provides information about the quality of the user’s test cases based on the Status marked on the platform. You can filter the data and see trends over time by clicking on the relevant legends at the bottom. With the Test Status Ratio widget, you can easily get and resolve a list of failing tests or facing an error.

Access To All Error Insights In One Place

The Error Insights module is a powerful tool that allows users to get all the test error insights in one place. Users can easily find information about the count and type of test errors through highly customizable widgets.

You will get access to only one widget under the Error Insights module:

• Error Stats

Let’s discuss this widget in detail.

Error Stats

With the Error Stats widget, you can analyze tests categorized by their Error Status on the TestMu AI platform, including Test Case Errors, Idle Timeout, Queue Timeout, and Testmu Error. You can identify and resolve the list of tests with a particular error by filtering the graph.

Know How Your Team Utilizes TestMu AI Resources

The Resource Utilization module lets the QA Managers get an overview of their teams’ TestMu AI resources. There is only one widget under this module, called Concurrency Trends.

Concurrency Trends

The Concurrency Trends widget provides QA team leaders with a visual way to track the workload of their teams. With this widget, they can easily see which tests are running and waiting to run. The widget also allows them to filter the information on the graph by clicking on the relevant legends at the bottom. This function makes it easy for them to optimize their TestMu AI plan subscribed by their team.

Note: Click here to create your first Dashboard with TestMu AI Analytics! Try TestMu AI Now!

One Stop For All The HyperExecute Insights You Need

The HyperExecute module enables QA managers to get all the HyperExecute insights in one place. With this information, they can easily find data on the number of Jobs, Tasks, and Stages run on the platform, along with details about their performance.

You will get access to Seven widgets under the HyperExecute module. These are:

• Job Trends
• Job Insights
• Stage Trends
• Task Trends
• Job Summary
• Task Summary
• Stage Summary

Let us discuss these widgets in detail.

Job Trends

The Job Trends widget allows users to analyze the status of their Jobs, providing them with information about whether a Job Failed or was Aborted, Completed successfully, Timeout, or had a Testmu Error. The Job Trends widget can also be filtered by accessing the legends at the bottom.

Job Insights

The Job Insights widget gives you a comprehensive overview of the Jobs executed on the platform. These include Completed, Failed, Testmu Error, Timeout, and Cancelled Jobs. You can see the high-level overview for the day by clicking on a bar representing that day.

The Job Insights widget can be drilled down to see the exact count of each Step and Scenario of a specific job run on the platform for a particular day by expanding the bar

Suppose a QA wants to troubleshoot why a certain Job failed. He can use the status distribution of his team’s Jobs and drill down into each failed Job number to understand where the error lies and troubleshoot it.

Stage Trends

With the help of the Stage Trends widget, users can analyze the Stage trends for each Job executed on the platform categorized into Completed, Failed, Testmu Error, and Cancelled.

Suppose a quality assurance (QA) representative wants to know the status distribution of the Stages in the jobs executed by his team to understand why their application is failing. He can use this information to identify which stage of the Job is failing and get information about that particular stage.

Task Trends

Users can use the Task Trends widget to analyze trends in how their Testmu functions are used. The widget displays statistics for each Job executed on the platform, categorized into Completed, Failed, Aborted, Testmu Error, and Cancelled. Users can also filter by a specific date and time.

By identifying the status distribution of Tasks in Jobs and analyzing those results, a QA can determine if any particular Task is failing or underperforming, which may indicate an issue with the application.

Not only this, the newly launched TestMu AI Analytics would be launching more useful features to cater to your testing and test data analysis needs.

Job Summary

With the help of the Job Summary widget, users can easily track the number of Jobs being run on HyperExecute by their status, including Completed, Partially Completed, Failed, Aborted, and Timeout Jobs.

Task Summary

By implementing the Task Summary widget, users can track the total Tasks being executed in specific Jobs on HyperExecute. The widget groups each Task’s status, including Completed, Skipped, Failed, Aborted, Timeout, and Testmu Error.

Stage Summary

The Stage Summary widget lets you track the total Stages being processed for every Task inside HyperExecute, grouped by status, including Completed, Skipped, Failed, Aborted, Cancelled, and Testmu Error.

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