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

Chapter 32. Making Testing Adaptive, Interactive, Iterative, and Contextual with Cognitive Intelligence

Natural language and artificial intelligence areas of study have existed for nearly five decades. Now, these combined with predictive analytics have become the building blocks of cognitive analytics. Cognitive analytics systems are being utilized for computing with the goal of creating accurate models of how the human brain senses, reasons, and responds to a stimulus.

This chapter is about the use of cognitive intelligence in testing. In this chapter, we will discuss the following topics:

  • An introduction to cognitive testing

  • The evolution of cognitive technology and available platforms

  • The methodologies involved

  • It's advantages and some use cases

  • The technologies supported

  • The costs involved

  • The challenges associated in Implementing