Tag: AIQ

New capability validates complex visual and behavioral outcomes across web and mobile apps—just by describing them SANTA CLARA, Calif., October 14, 2025 /PRNewswire/ – Appvance, the leader in generative AI for software quality, today announced the launch of AI ASSERT, a groundbreaking new capability within its Web Designer module. With AI ASSERT, testers can validate any visual,

New capability automatically generates test data and scripts from OpenAPI specifications, accelerating API quality validation SANTA CLARA, Calif., October 7, 2025 – Appvance, the leader in generative AI for software quality, today announced a breakthrough feature in its AIQ platform: automatic generation of API test data and scripts directly from OpenAPI specifications using generative AI. This

If you’ve worked in QA or software development, you know the struggle: test debt. Scripts that break with every UI change. Endless hours spent maintaining automation instead of advancing coverage. Fragile frameworks that drain time and resources. For years, this has been the hidden tax on software quality—slowing teams down and preventing them from delivering

MIT just issued a wake-up call: despite $30–40 billion poured into generative AI, 95% of corporate AI pilots are failing to deliver financial returns. Enterprises are stuck in proof-of-concept purgatory while startups are racing ahead, scaling AI-native businesses from day one. Peter Diamandis put it bluntly: bureaucracy is the trap. Large organizations are trying to

When artificial intelligence enters the conversation around software testing, a common fear surfaces: Will AI take my job? For QA professionals, who have long been on the frontlines of quality, the rise of AI-driven platforms can feel both exciting and intimidating. The truth is this: AI won’t replace your QA team—it will empower them. Far

In today’s hyper-accelerated release cycles, speed and quality often feel like opposing forces. Traditional testing approaches—manual scripts, record-and-playback tools, or even semi-automated frameworks—simply can’t keep up. They’re slow to create, expensive to maintain, and shallow in coverage. Enter Digital Twin technology, the engine behind Appvance IQ’s (AIQ) ability to deliver 100X faster script generation and

The rise of “generative AI” in software testing has sparked excitement across the industry—but it’s also led to widespread misconceptions. One of the most persistent myths? That the mere presence of generative AI means faster testing and higher productivity. In reality, some so-called generative AI implementations actually slow you down. A prime example: AI-driven assistants that let you type

In today’s fast-paced software world, speed isn’t optional—it’s a competitive necessity. But for many organizations, quality assurance (QA) remains the bottleneck. Traditional testing cycles can take weeks, bogged down by manual script writing, test maintenance, and slow execution times. Enter AI-first testing—and specifically, Appvance IQ (AIQ)—a platform designed to compress QA cycles from weeks to

Why are most software bugs still found by users after release? Because the industry still relies on outdated QA practices—manual testers, record-and-playback tools, and endless script writing. These approaches are slow, shallow in coverage, and deeply reliant on human capacity. The result? Missed bugs, late releases, and costly production issues. Appvance changed that equation years

Enterprises today are under immense pressure to release software faster, with fewer bugs, and at a lower cost. But traditional QA approaches—whether manual or semi-automated—simply can’t keep up. Between the cost of scripting, test maintenance, and regression cycles, software testing has become one of the most expensive bottlenecks in the SDLC. That’s where Appvance IQ