With AI-powered automated functional and regression testing, opportunities for optimizing manual testing methods and assuring software quality are nearly limitless.

News Meeting the challenges of integration testing By Dan Romanchik July 18, 2003 Matthew Van Vleet is co-founder and CTO at Solstice Software, which recently released Version 3.6 of Integra ...

AtomicJar wants to commercialize a popular open source integration testing framework used by major companies including Oracle and Uber.

Software testing tools and practices keep pace with these new methodologies in a number of ways, starting with supporting continuous testing, integration and development — all necessary parts of ...

Unit and integration testing with dynamic analysis ensures the software functions correctly, both as a unit and “playing well with others” when connected to other units in the overall program.

In addition, as software development evolves, so do its demands. The integration of AI in development has introduced new challenges that CAT platforms are not equipped to fully address. Generative ...

The concept of Continuous Integration (CI) is a powerful tool in software development, and it’s not every day we get a look at how someone integrated automated hardware testing into their system.

Microservices: The Ignorance Problem But the fundamental problem is that integration testing assumed that you knew all the paths through a transaction and could assemble some of them for testing ...

Automated software testing plays an important role in ensuring quality at every stage of software development. This article discusses how to get started using Python’s Robot Framework.