Automation Testing 2.0 and Tools: With Live Software Testing Automation Project Using Python

How to Use This Book (Automation Testing 2.0 and Tools)?
This book is for Students, Teachers, data scientists, coders and professionals, and Programmers in academia who wants to understand the understanding of automation testing and tools with live projects using Python.

This guide presents how to write the best-automated unit test cases for code in 18 easy steps. It will help the reader grab some important concepts. Reading this book won't teach you automation testing Principles with unit Testing using Python 3.7. You can teach yourself Unit test automation by working through all the examples and live project.

Table of Contents
1.Automation Testing 2.0
2.What is Automation Testing?
3.Software Testing Attributes and Future
4.Automated Testing Teams and Tools
5.Tips for Automation Testing
6.Tips and Tricks for Automated Testing
7.Teams Structure for Automation Testing
8.Automation Testing in Business Processes
9.Test-Driven Development
10.Agile and DevOps in Automation Testing
11.Database Stress Testing
12.An Approach to Automated Testing
13.Automation Testing Terms
14.Testing Duplication
15.Python Testing with PyTest
16.Writing Tests in Python 3.7
17.Starting the Unit Testing Process
18.Live Project: Automation Testing in Trading

Automation Testing 2.0
Modern software has to be intelligent, should effectively analyze the end-user behaviors and should be able to provide a customized experience for the user. This requires high performance in application systems, which have to undergo a lot of stress and performance testing, requiring automation of such testing.
It is obvious that the automation of testing would play a significant role in the successful implementation of any software system. Investment in the automation of testing would be rewarding for any software company to be competitive.
What is Automation Testing?
Test automation, test-driven development, and activities that aim at stabilizing the development process and introducing fail-safes also belong in the domain of support testing. Automation testers did not necessarily have a very good understanding of the system’s internals and relied on record and play tools to capture the system’s workflow in an automated manner.

DevOps and Automation Testing
DevOps brings in a completely new definition, to automation. In today’s scenario, automation is all about automating build deployments, test processes, unit tests and enhancing overall test coverage through code coverage, all with the goal of making the development process fast, hassle-free, reliable and code quality robust. Some of the core requirements that make DevOps feasible include a strong regression test suite, instrumented code, system configurability, back and forward code compatibility, and keeping track of overall product dependencies, among others.
The core principles of DevOps around continuous delivery and readiness to ship at short intervals and in parallel work among all teams are the ones that have been impacting the test discipline.

Test Automation
Writing good test automation is even more difficult than writing good code because it requires strong coding skills plus a devious mind to think about how to break the code. It is frequently done poorly because organizations don’t give it the time and attention that it requires.
You just can’t keep large software systems stable without a very large number of automated tests running on a daily basis. This testing should start with the unit- and services-level testing which is fairly straightforward. Ideally, you would be able to use these tests to find all of your defects.