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

Testing considerations for new technologies


How are we going to test these new technologies? Is it going to be tricky or just a cakewalk? Let's try to find out the testing considerations for each of these new technologies.

Pervasive technologies and predictive analytics

Testing for pervasive technologies and predictive analytics will have three basic components:

  • Business analytics testing on the huge amount of information gathered from the environment

  • Thorough testing of the prediction model for extensive coverage of test scenarios

  • Testing of the adopted Near Field Communication (NFC) technology

Cognitive intelligence – Connected Autonomous Vehicle (CAV)

During testing of CAV, the two most critical factors are cognitive intelligence of the prediction model and response time. While the software onboard will be responsible for predicting the next move of the other objects on the road, the hardware will be responsible for performing the required action within a fraction of a second.

Along with basic...