Apr’23 Updates: The All-New LT Debug 2.0, Selenium Telemetry Logs, And More

Live with Telemetry Logs for Selenium Debugging

We have now added support for Telemetry Logs for Selenium tests allowing you to take your debugging experience to the next level.

It is now much easier to gain a deeper understanding of your Selenium tests by using Telemetry Logs and identify issues faster than ever before when using Telemetry Logs. With Selenium 4 and OpenTelemetry integration, you can view the tracing of requests and event logs for each request to troubleshoot your test sessions.

Currently, we have provided the Selenium Telemetry Logs support on the following OSes:

• Windows 11
• Windows 10
• macOS Ventura
• macOS Catalina
• macOS Mojave

  To enable the Telemetry Logs for Selenium testing, you need to:

• Pass the seTelemetryLogs capability in your test scripts and set it to true.

caps.setCapability("seTelemetryLogs", true);

• Next, pass the selenium_version capability and set it as 4.2.0.

caps.setCapability(“selenium_version”, “4.2.0”);

Note: For more details, check our documentation Selenium Telemetry Logs

Latest Features in HyperExecute

In the latest patch of the HyperExecute release, we have launched a couple of features, like the ability to view test case history, archiving jobs, and support for Appium testing on real devices. Let’s look at them one by one.

• With HyperExecute, you can now view the history of a test case, providing valuable insights. This lets you quickly determine if a test case failure is actually of value or has been failing frequently.

• We have added a feature to archive jobs that are no longer relevant or were aborted by your team. With this feature, you can group archived jobs in one location, making it easy to reference them in the future if needed.

• HyperExecute now allows you to perform app test automation using the Appium framework on real devices. In addition, you can distribute and perform parallel testing, enabling faster and accelerated release cycles.

New HyperExecute Widget: Job Queue Time Trends

With the Job Queue Time Trends widget for HyperExecute, you can now easily visualize your job queue time using a time-series plot. This widget provides an overview of the efficiency of your testing pipeline by showing you how much time each job spends in the queue before test execution.

• Monitoring your job queue time helps you quickly identify potential bottlenecks and take necessary actions to improve the efficiency of your testing pipeline.
• This widget helps you make informed decisions about resource allocation, ensuring your test infrastructure is used optimally.
• You can easily share insights with your colleagues and team members to foster collaboration.

That’s a Wrap…

We hope these new features will supercharge your productivity. TestMu AI is constantly striving to bring in more exciting features for you on board. Do give a spin on these new features and share your feedback with us through our 24×7 Chat Support, [email protected], or the TestMu AI Community.

In case you missed out on our previous features, catch up by checking our past Product Updates.