Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...

Major industries such as electric vehicles (EVs), Internet of Things (IoT), aeronautics, and railways have strict, well-established processes to ensure they can maintain high safety standards ...

The principle of Bug Clustering states that the majority of defects are often concentrated in a small number of modules or components of a software system. It can be seen as an application of the ...

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

Software testing is hard. Even with the right talent in place, it doesn’t always go as planned — particularly when executed at scale. In a 2020 survey from Electric Cloud, 58% of developers blamed ...

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When a requirement is expressed, the business expects the implementation to just work. But rarely in the history of business or software has there been agreement over whether the final product really ...

REDMOND, Wash.--On a whiteboard in a windowless Microsoft conference room here, an elegant curve drawn by a software-testing engineer captures both five years of frustration and more recent progress.

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.