Every enterprise struggles to combat some ingrained partialities but, after 23 years in the QA industry, I’ve found that there’s a particular pattern of bias against static testing. It’s no industry ...

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

Opinions expressed by Entrepreneur contributors are their own. Even the most well-funded and innovative development teams run into software challenges. Just look at the recent unforeseen software ...

SoftServe's Agentic Engineering Suite is comprised of two pillars: modernization and development. With agentic engineering, software is built or modernized by AI agents orchestrated by SoftServe's ...

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

During the software development life cycle (SDLC), time and resources need to be committed to application testing. This is the testing that is done by the testing group, (i.e., the black box testers.) ...

As software development becomes increasingly pervasive across all industries, organizations need best practices to guide their testing processes to find critical quality and security issues as the ...

Artificial intelligence will dramatically increase the pace of software development and make continuous delivery routine. Processes and roles will need to evolve, especially testing. Software delivery ...

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create an AI-native software development li ...

Mobile apps built with AI-powered coding, automated testing and workflows are shortening the development cycles and ...

Worldwide engineering teams support AI development services, SaaS product development, and enterprise software ...