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 31. Algorithmic Business – In Need of Model-Based Testing

"The Goal is to turn data into information, and information into insights"

-Carly Fiorina (Ex-CEO HP)

An intriguing quote, isn't it? These words touch on one of the most important elements of data collection. Earlier, big data had become a buzzword; industry leaders had to recognize that value didn't lie uniquely in the quantity, but rather in the quality, insights, and analysis these numbers could provide.

The power of information has created many businesses. There are businesses that thrive on the use of algorithms. In this chapter, we will discuss the following topics:

  • An introduction to algorithmic business

  • The journey of analytics in algorithmic businesses

  • An illustration of algorithmic business

  • The implication for testing in an algorithmic business

  • The use of model-based testing in algorithmic businesses