Applying AL/ML to Continuous Testing, Quality, Security, and Feedback

This chapter delves into the transformative role of artificial intelligence (AI) and machine learning (ML) across the software development life cycle, with a special focus on enhancing continuous testing, quality, security, and feedback practices.

The chapter starts with an overview of AI/ML applications. It explains how these technologies are reshaping the landscapes of continuous testing, quality, security, and feedback. Each section provides in-depth insights into AI/ML strategies that are designed to automate and optimize processes, from early-stage code testing to post-deployment monitoring. This is to facilitate a seamless, continuous integration and delivery pipeline with an AI-enabled toolchain.

The chapter prescribes a methodology for selecting AI/ML-enabled tools that can integrate effectively within your continuous testing, quality, security, and feedback transformation projects.

By the end of...