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 the BI/BA applications


Need for quicker analytics, use of social media, and mobility applications has led to use of agile business intelligence technologies, such as big data and Hadoop, where need for faster change adoption is driving the use of agile methods.

Analytics solutions should be tested for common testing techniques, such as security testing, performance testing, usability testing, and custom techniques such as failover testing.

  • Security testing: To focus on authorization and authentication of users, and availability of data, session permissions, application flow, and other required security tests.

  • Performance testing: To focus on accuracy of data and performance under high load.

  • Usability testing: To check whether the application is providing right information, for example, providing a single view of customer from multiple data sources.

  • Failover: To ensure that data is available during critical failures if the application reaches a predefined threshold.