JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
According to LogiGear's State of Software Testing Survey, almost one-third of the respondents are experiencing classic test automation issues.
One problem commonly cited among respondents was that management didn’t fully understand what it takes to have a successful automation program. This included everything from process/team frustration, to tool choice.
One survey taker said: “In an earlier job, decisions about what automation tools were to be used were made by management, leading to a churn of new tools about every two years. When the automation engineers (my team) were finally allowed input, the selected tool was successful and was in place for at least 10 years, long after I had left the company. Lesson: Let the people using the tool choose the tool.”
When the responses are viewed as a whole — the tool cost, maintenance cost, and management not understanding what it takes — this becomes a serious factor that could make or break successful test automation implementation.
Other findings from the survey include:
■ It is encouraging that almost half of the responses (38 percent) at least tried test automation, even though they failed with their first implementation.
■ Having a method for test automation is most important. The fact that 49 percent of respondents said they were data-driven was expected as it is the easiest to implement and maintain.
■ One in five respondents must run automation tests across mobile, browser, desktop, and server software. It’s no surprise so many people do automated browser testing, but it is surprising only one quarter (24 percent) conduct mobile testing.
These findings suggest that since the last survey, as more teams have engaged in test automation, important adoption has taken place, yet there is still room for supporting more environments, platforms, and devices.
Industry News
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mabl announced the addition of mobile application testing to its platform.
Spectro Cloud announced the achievement of a new Amazon Web Services (AWS) Competency designation.
GitLab announced the general availability of GitLab Duo Chat.
SmartBear announced a new version of its API design and documentation tool, SwaggerHub, integrating Stoplight’s API open source tools.
Red Hat announced updates to Red Hat Trusted Software Supply Chain.
Tricentis announced the latest update to the company’s AI offerings with the launch of Tricentis Copilot, a suite of solutions leveraging generative AI to enhance productivity throughout the entire testing lifecycle.
CIQ launched fully supported, upstream stable kernels for Rocky Linux via the CIQ Enterprise Linux Platform, providing enhanced performance, hardware compatibility and security.
Redgate launched an enterprise version of its database monitoring tool, providing a range of new features to address the challenges of scale and complexity faced by larger organizations.
Snyk announced the expansion of its current partnership with Google Cloud to advance secure code generated by Google Cloud’s generative-AI-powered collaborator service, Gemini Code Assist.
Kong announced the commercial availability of Kong Konnect Dedicated Cloud Gateways on Amazon Web Services (AWS).
Pegasystems announced the general availability of Pega Infinity ’24.1™.