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 ...
In 2020, it was projected that U.S. companies lost over $2 trillion due to poor-quality software. These costs came from unsuccessful projects, legacy software and operational failures, adding to a ...
Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...
With the faster rate of software development today, AI in testing is transforming the organizational approach to software Quality Assurance (QA). Organizations are implementing Artificial Intelligence ...
Overview: Modern debugging combines AI, automation, and monitoring to improve software reliability and reduce long-term costs.Choosing the right mix of traditio ...
Overcoming these obstacles is a priority for APAC organisations as the need for software-powered innovation rises, which translates to a greater scrutiny on application digital risks. The notion of ...
SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick start guide. Picture this: You and your team have spent a tremendous amount of ...
In what might be perceived as the world's most significant IT outage, the CrowdStrike incident is likely to cost upwards of $5 billion in damages, also erasing billions from the cybersecurity ...