How to Develop a QA Strategy with Generative AI
About this ebook
This ebook delves into the practical steps required to integrate AI into your existing QA workflows, from selecting the right tools to implementing automated testing and predictive analytics. Through detailed case studies, real-world examples, and step-by-step instructions, you’ll learn how to automate repetitive tasks, improve test accuracy, and significantly reduce testing cycles.
Whether you’re a QA manager, software engineer, or tech enthusiast, this guide offers valuable insights into the future of QA. Discover how AI-driven tools can transform your approach to software quality, leading to better products and satisfied customers.
About the author
With a distinguished career spanning over 30 years in software development, I bring a wealth of experience and expertise to the field.
Started as a C Language software developer, I dedicated the first 20 years to mastering coding and development across various industries.
This extensive background laid a solid foundation for the next phase of my career.
For the past 15 years, I have excelled as a Software Analytical Tester, seamlessly integrating both Cloud Security, Manual and Automation Testing methodologies.
My understanding of software development principles and cloud technologies, combined with my analytical skills, has enabled me to identify and resolve complex issues, ensuring the delivery of high-quality software products.
My commitment to continuous learning and adapting to new technologies, has kept me at the forefront of the software testing domain.
I am passionate about sharing my knowledge and insights, making significant contributions to the field through mentoring, writing, and speaking engagements.
