SOFTWARE TESTING USING GENERATIVE ARTIFICIAL INTELLIGENCE

Discover the future of software testing with the integration of generative artificial intelligence (GenAI). This innovative book, written by experts in the field of testing and AI, offers practical guidance and techniques to revolutionize your testing process, improve code quality, and increase efficiency.

• Test automation: Streamline the testing process with AI tools, saving time and resources.
• Quality improvement: Increase test coverage and detect errors early in software development.
• Effective data management: Use AI to generate and manage test data.
• Faster script writing: Make it easier to create test scripts with intelligent AI tools.
• Exploratory testing: Discover new testing possibilities with AI support.

The book "Software Testing Using Generative Artificial Intelligence" is a comprehensive guide that will help you understand and implement GenAI in your work. You will learn how to use tools like Copilot for TDD programming, how to get feedback on your application from ChatGPT, and how to use the OpenAI API to generate test data. With practical examples and case studies, you will quickly master techniques that will allow you to create better software in less time.

The authors of the book, Laurence Giglio and Dr. Ron Hubler, are recognized experts in the field of software testing and artificial intelligence. Their knowledge and experience guarantee that you will receive proven and effective methods that you can immediately apply in your work. The book is aimed at software testers, programmers, project managers, and anyone interested in using AI to improve software quality.

Don't wait, start using the potential of generative AI in software testing today! With this book, you will become a leader in your field and will be able to create software that meets the highest quality standards. Gain a competitive advantage and join the ranks of professionals who use AI to create better software.

Helion Publishing, year of publication 2025, 336 pages, paperback, format 331x360 mm.