Meet the Author
Sai Chand Boyapati
Author
Sai Chand Boyapati is an industry leader in quality assurance. He has the privilege of leading and managing a dynamic global QA team, driving innovation and excellence across diverse projects. His research interests include emerging hardware and multiple software products encompassing AI, AR/VR platforms, mobile technology, health, and B2B/enterprise and security domains.
Boyapati received his master’s degrees in Electrical and Electronics Engineering from the State University of New York.
He is an Author and has peer-reviewed multiple top-tier conferences, journals, and e-learning courses.
With over 15 years of experience in quality assurance, he spearheaded diverse teams that delivered groundbreaking achievements, including patents, identifying high-impact vulnerabilities, and developing robust test automation tools. His expertise extends to meticulously crafted test plans and strategies tailored for proof of concepts, mid-to-large-scale commercial projects, and the seamless release of multiple devices—all aimed at ensuring the release of quality products.
More about Focus on QA
This book is for a diverse software development and testing ecosystem audience, ranging from people seeking practical insights to decision-makers seeking strategic guidance.
Software Testing Professionals: This book is tailor-made for professionals working in software testing, quality assurance (QA), and related fields. It dives into the role of AI and large language models (LLMs) in testing, security testing techniques, penetration testing, and the future of software testing. Both experienced testers looking to stay updated with industry trends and newcomers seeking foundational knowledge could benefit.
Developers: Developers who collaborate closely with testing teams or are interested in understanding how AI impacts software testing could find value. Chapter 1 provides insights into the capabilities of AI in testing, while Chapter 2 explores its role in security testing, including penetration testing.
Managers and Team Leads: Managers and team leads responsible for overseeing testing teams or making decisions about testing tools and methodologies may find it helpful. Chapters such as "Innovation Mindset-Patent Generation" and "The Future of Software Testing" offer strategic insights into fostering innovation and preparing for future testing trends.
Students: Students aspiring to become QA professionals or looking forward to starting their career as QA may find this book beneficial for gaining a deeper understanding of AI's role in software testing, security testing techniques, and the evolving landscape of quality assurance.
Entrepreneurs, Project, and Product Managers: Entrepreneurs launching software products or product managers involved in product development may find Chapter 6 particularly insightful. It provides firsthand experiences and strategies for launching large-scale, high-quality products, including the role of QA throughout the software lifecycle and achieving adequate test coverage.
Tech Enthusiasts and Innovators: Individuals with a general interest in technology, innovation, and the future of software quality could review the Chapters discussing the intersection of AI and testing and speculations about 21st-century testing.
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