Author: Kevin Surace

Rethinking Software Quality in a Rapidly Evolving LandscapeAs businesses innovate and expand, the number of applications that support critical functions is growing exponentially. However, the complexity of these systems means that traditional QA methods are struggling to keep pace. In today’s fast-moving digital environment, relying solely on manual testing and legacy automation tools is no

Software testing—long a bottleneck in digital transformation—faces its most significant disruption since the dawn of computing. The catalyst: artificial intelligence. And we at Appvance are leading this change. Software now runs everything from banking to healthcare to transport. Yet the methods to ensure it works properly remain stuck in the past. Most firms still rely

The Acceleration of Application Value Creation The number of applications required to support business needs, innovation, and value creation is accelerating, and so is the complexity of those apps.  Current quality assurance and testing approaches simply can’t keep up.  As of 2025, companies are dedicating approximately 35% of their IT budgets to quality assurance and

We recently launched GENI, our new AI platform that will change software testing forever. The Hidden Costs of Software Testing Let’s talk cash. Software bugs cost businesses billions. A Consortium for IT Software Quality study puts the cost of poor software quality in the US at $2.08 trillion in 2020 alone. When apps fail, you

Big news today. We’ve just launched GENI, our new AI system that turns the software testing world upside down. What is GENI? GENI is an AI that converts English test cases to test scripts in seconds. It works 400 times faster than humans, generating about 100 scripts per hour. No more manual testing. No more

True-AI obsoletes manual QA testing and scripting Set to replace millions of human QA testers, GENI’s generative AI makes traditional tools obsolete by converting test cases to scripts in seconds SANTA CLARA, Calif., March 18, 2025 /PRNewswire/ — Appvance, the technology leader in generative AI for software quality assurance (SQA) and testing, today announced the launch of

In a shocking display of incompetence, millions of computers around the world simultaneously became unusable, all thanks to a bug that led to the dreaded “Blue Screen of Death.” CrowdStrike, a US cybersecurity company based in Texas, offers ransomware, malware, and internet security products primarily to businesses and large organizations. But on Friday, July 19,

As technology advances at an exponential rate, the role of artificial intelligence (AI) in software quality assurance (SQA) has become increasingly prominent. From automating mundane tasks to enhancing overall efficiency and productivity, AI has proven itself as a powerful tool in the arsenal of QA teams. But what does the future hold? Can AI go

Software QA is undergoing a sea change due to generative AI-driven testing. Given that, this post compares and contrasts generative AI (GenAI) test creation with traditional scripting methods.  It does so across half-a-dozen aspects of scripting, including the development process, efficiency, accuracy, customization and adaptability, maintainability, and ongoing improvement. 6 Points of Comparison 1. Development

Software QA is undergoing a sea change due to generative AI-driven testing. That begs the question of how to practice responsible AI in software testing. Hence, this post provides eleven considerations for responsible testing when using generative AI (GenAI). First, let’s note that responsible AI is an emerging area of AI governance covering ethics, morals