Risk, AI, and Software Testing: A Deep Dive

The contemporary landscape of software development is rapidly evolving, and at the heart of this transformation lies the power of Artificial Intelligence. As AI permeates the domain of software testing, it promises enhanced efficiency and precision. Yet, every technological stride comes paired with its own set of complexities. Join Adam Sandman for a pivotal discourse on the integration of Risk-Based Testing (RBT) within this AI-centric paradigm.

Key Discussion Points:

• The AI Revolution in Software Testing: A brief overview of the transformative impact of AI, reshaping the benchmarks of efficiency and precision in software testing.
• Risk-Based Testing Unveiled: Introducing the RBT methodology and its undeniable relevance in today's AI-centric paradigm.
• The Balancing Act: An in-depth examination of the dichotomy between harnessing AI’s capabilities and managing inherent risks, with a focus on false positives and negatives.
• Roadmap to Risk Management: Delving into advanced strategies and tools such as model-based testing, exploratory testing, and risk analysis that offer precise navigation through the maze of potential challenges.
• Operational Excellence: Guiding professionals on formulating risk-adjusted test plans that align seamlessly with overarching business objectives, ensuring both software quality and functional alignment.