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

ChatOps – How does it work?


The basic structure of ChatOps and mapping of testing steps is provided in the following screenshot:

In the DevOps environment, teams use chat clients such as HipChat, Slak, or Flowdock for their regular communication. This is integrated with bots such as Hubot, Lita, or Err. A chat client manages a group of people who are responsible to address issues and incidents. A user can give commands to bots via a chat window to perform basic tasks such as server reset, ticket creation, and deploying the code. Bots in the background are connected with an API of any incident management or the Application Life cycle Management (ALM) tool from where they fetch the required information. When an issue is generated, everyone who is a part of the chat knows it. This helps to identify the correct person to resolve the issue. ChatOps as a concept can be applied to various types of services such as application management services, and testing services.