While automated testing can help with many challenges, there is also a learning curve to getting started.

These shifts necessitate testing platforms that go beyond automation — platforms that are intelligent, adaptive, and capable of augmenting human testers in tackling AI’s complexities.

Generative artificial intelligence software testing startup BlinqIO Inc. said today it has closed on a $5 million round of funding to get around a shortage of human test programmers. Today’s ...

Software Testing Trends Even before the pandemic, software testing was being transformed by increased automation at all levels of the testing process.

A new study from Kobiton found nearly 100% of software testers use automation, and managers prefer new hires with automation experience.

Some of the key areas that benefit from AI during software testing include test data creation (51%), writing code for automated tests (45%), test results analysis and reporting (36%), and ...

Inspired Testing, a leading global software testing and services company, is proud to announce the BETA launch of VeloAI – an innovative artificial intelligence platform designed specifically to ...

The integration of AI into QA engineering is empowering testers to: • Automate repetitive tasks and focus on more strategic testing activities ...

Matthew Lodge Mathew Lodge has over 25 years of experience in the software industry. He is currently CEO of Diffblue, which recently announced the general availability of their automated unit test ...