Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity.

Apple Intelligence is the product of more than a year's worth of tireless testing. Here's what Apple engineers used to ensure the quality of their AI software. For Apple, 2024 was undoubtedly the year ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

Diffblue Ltd., the maker of an autonomous generative artificial intelligence code test platform, said today it secured $6.3 million in new funding to build on its differentiated approach to generating ...

Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context....Read More The post ...

Deepak Gupta, VP Engineering at Cars24. Specializes in FinTech, AI/ML, E-comm, digital transformation, business strategy and revenue growth. Software systems are getting more complex, like a giant ...

Software testing is an essential component in ensuring the reliability and efficiency of modern software systems. In recent years, evolutionary algorithms have emerged as a robust framework for ...