Book Image

Testing Practitioner Handbook

By : Renu Rajani
Book Image

Testing Practitioner Handbook

By: Renu Rajani

Overview of this book

The book is based on the author`s experience in leading and transforming large test engagements and architecting solutions for customer testing requirements/bids/problem areas. It targets the testing practitioner population and provides them with a single go-to place to find perspectives, practices, trends, tools, and solutions to test applications as they face the evolving digital world. This book is divided into five parts where each part explores different aspects of testing in the real world. The first module explains the various testing engagement models. You will then learn how to efficiently test code in different life cycles. The book discusses the different aspects of Quality Analysis consideration while testing social media, mobile, analytics, and the Cloud. In the last module, you will learn about futuristic technologies to test software. By the end of the book, you will understand the latest business and IT trends in digital transformation and learn the best practices to adopt for business assurance.
Table of Contents (56 chapters)
Testing Practitioner Handbook
Credits
About the Author
Acknowledgement
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Evolution of cognitive technology and available platforms


Cognitive computing is evolving, and the transformation is taking place from descriptive analytics to predictive analytics. The logical next step is to move toward prescriptive analytics to start taking decisions based on the analyzed information. This would create opportunities to create self-service testing platforms with self-healing capabilities. The advances in natural language processing would lead to more advanced scriptless testing solutions. Smart speech-to-text processing would enable the business users to narrate requirements in natural language orally and be able to convert them to automated test suites using scriptless testing techniques. Neuromorphic systems and neuro-enable firmware can be used for smart environment handling and intelligent test data management.

Some of the platforms available that offer cognitive intelligence are as follows:

  • OpenAI: This is a nonprofit artificial intelligence research platform to benefit...