What this book covers
Chapter 1, Principles of Continuous Testing, Quality, Security, and Feedback, explains how these strategies are essential for digital transformations that utilize continuous development practices known as Agile, continuous delivery practices known as DevOps and DevSecOps, and continuous operations practices known as SRE.
Chapter 2, The Importance of Continuous Testing, Quality, Security, and Feedback, explains why continuous testing, quality, security, and feedback strategies are important for DevOps, DevSecOps, and SRE. It explains how the principles and pillars of DevOps, DevSecOps, and SRE depend on the principles and pillars of continuous testing, quality, security, and feedback.
Chapter 3, Experiences and Pitfalls with Continuous Testing, Quality, Security, and Feedback, explains – by way of examples from my experiences – use cases, lessons learned, and pitfalls to avoid, including strategies to avoid pitfalls.
Chapter 4, Engineering Approach to Continuous Testing, Quality, Security, and Feedback, explains a systematic, disciplined engineering approach to planning continuous testing, quality, security, and feedback solutions.
Chapter 5, Determining Transformation Goals, explains a prescriptive methodology for determining goals for continuous testing, quality, security, and feedback transformations, to suit specific organizations, products, and services. Tools to help determine goals are described.
Chapter 6, Discovery and Benchmarking, explains the methodology and tools for discovering the current state of an organization’s people, processes, and technologies relevant to the transformation to mastering continuous testing, quality, security, and feedback.
Chapter 7, Selecting Tool Platforms and Tools, provides you with a deep understanding of how each platform and tool can be leveraged to foster a culture of continuous improvement and resilience in the face of ever-changing technological challenges.
Chapter 8, Applying AL/ML to Continuous Testing, Quality, Security, and Feedback, 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.
Chapter 9, Use Cases for Integrating with DevOps, DevSecOps, and SRE, describes practical applications of continuous testing, continuous quality, continuous security, and continuous feedback within these frameworks with use cases that illustrate how organizations can transform to higher levels of operational maturity.
Chapter 10, Building Roadmaps for Implementation, explains how to create effective roadmaps for implementing continuous testing, quality, security, and feedback within your organization, ensuring that your digital transformation journey is both strategic and aligned with organizational goals.
Chapter 11, Understanding Transformation Implementation Patterns, dives into the world of implementation patterns, which are structured approaches proven to enhance the deployment and success of strategic roadmaps for organizations that wish to improve their capabilities for continuous testing, quality, security, and feedback.
Chapter 12, Measuring Progress and Outcomes, focuses on methods and frameworks that are important for measuring progress and outcomes as organizations implement and improve their continuous testing, quality, security, and feedback capabilities.
Chapter 13, Emerging Trends, describes emerging trends that are reshaping the landscape of continuous testing, quality, security, and feedback within software development.
Chapter 14, Exploring Continuous Learning and Improvement, explains effective strategies for continuous learning and improvement in areas crucial for software development and operations: continuous testing, quality, security, and feedback.
