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 ...

Times are changing fast. Take the automotive industry for example. Software has evolved far beyond infotainment, now controlling everything in the car, including braking and steering for the driver.

Embedded systems engineers face significant challenges in adding intelligence to myriad real-world applications. To succeed, they must select the proper tools to get their products to market quickly.

Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the ...

What key cost drivers should be considered when developing a test engineering solution. How to sort through the build vs buy dilemma when planning a test strategy. Why it’s important to plan what to ...