Founder and CEO of ZAPTEST, with 20 years of experience in Software Automation for Testing + RPA processes, and application development. In the wake of the AI revolution, software development is ...
Modern data acquisition software helps engineers collect and analyze testing data faster. Learn how new tools are improving engineering measurement and testing.
The entry of cloud technology in the software world has fundamentally changed how software is built, deployed, and scaled. Traditionally, applications were released only once or twice a year. Today, ...
New survey finds 7 of 10 software and QA experts say application quality is suffering with rise of AI-driven development; BearQ autonomously explores and validates that software behaves as intended ...
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 ...
With the advantages cloud storage offers over on-premise or traditional storage, we will continue to witness more migration of organizational resources to the cloud. As this trend continues unabated, ...
AI-powered tooling has been around for quite some time. You may even be using AI-based services without even realizing it. However, they had been mostly a part of a backend and were effective only for ...
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 today’s dynamic digital environment, startups face a dual challenge: expanding their business while safeguarding it against persistent cybersecurity risks. With limited resources and the pressure ...
RPA vs. test automation: What are the differences? Your email has been sent Automation tools have since adopted 4.0 technologies in their evolution. Part of this adoption uses RPA, artificial ...
In a recent article about upgrading continuous testing for generative AI, I asked how code generation tools, copilots, and other generative AI capabilities would impact quality assurance (QA) and ...
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