Modern software teams are expected to ship faster every quarter. At the same time, the systems they ship become more complex, more distributed and more regulated. As systems scale from monoliths to ...

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

Software quality often slips not because of major flaws, but because of small cracks in the software development lifecycle ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

The good news is that many of these risks are easily preventable or can be significantly mitigated with proper precautions. By understanding these risks and taking appropriate measures, developers can ...