Tag: AI-driven testing

AI-driven testing changes everything for testing teams. These Best Practices ensure best outcomes.  I’ve recently published a series of posts on Best Practices for different aspects of software QA in the age of AI-driven testing. This post serves as a portal to them. Before listing the posts, it’s worth noting that everything has changed in

AI-driven testing leads to new forms of team composition and compensation. AI is a force-multiplier for test teams, a reality that’s driving new thinking about how test teams are composed and compensated. This is because AI-driven testing enables test teams to finally keep pace with dev teams, albeit with a radically reformed approach to the

This is the third #BestPractices blog post of a series, by Kevin Parker. Introduction The emergence of artificial intelligence (AI) has revolutionized software quality and test automation, including by transforming the way we approach test design and execution, and in offering new possibilities and challenges. The Appvance IQ (AIQ) generative-AI testing platform embodies these transformations, possibilities

The benefits of AI-driven testing go well beyond automatic test-script generation, profound and game-changing as that is. However, auto test-script generation is robustly covered elsewhere on this blog, so this post introduces two downstream benefits of AI-driven testing: Intelligent Test Prioritization and Test Results Analysis. AI-aided test prioritization and results analysis are each transformative in