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Testing Automation 3.0: : With Live Test Automation Projects and Tools
Why Test Automation?
Successful implementation of test automation has some great benefits that you can’t get from manual regression testing, we can conclude that manual testing and automated testing are essentially different. So let’s dive deeper into the differences between the two. These differences are especially important to keep in mind when coming to implement existing manual test plans as automated tests.
In general, executing manual tests can be divided into two types:
•\ Exploratory testing
•\ Planned testing
Different companies and teams have different policies regarding who, when, and if planned tests are created and executed. Some teams focus primarily on exploratory tests plus maybe a few sanity scenarios that reside only in the head of the tester. This is more common in small, start-up teams or in small software development teams that are part of a bigger organization that is not software-centric. On the other end of the spectrum, highly bureaucratic teams rely mainly on highly documented, precisely planned testing.
Table of Contents
1. Why Test Automation?
2. Different Types of Testing
3. Unit Testing Automation
4. Software Testing Techniques
5. Permutation Tests
6. How to work with Test Code?
7. Deal with Complex Tests
8. Test Design Ideas and Automation Heuristics
9. First Test to Automate
10. Testing Automation Mistakes
11. Test Automation Project
12. Tips for Automation Productivity
13. Learning Unit Tests and TDD
14. How to Write a Unit Test?
15. Automated Tests Terms
16. iOS Security and Testing
17. Building a Test Lab for Penetration Testing
18. Testing Automation Principles
19. Creating Stubs and Mocks
20. Test Automation Live Project
How to Use This Book
In larger companies or in companies that separate testing from development, the developer may be at the mercy of the QA or testing department. There will be test plans, and bugs will be called defects in a bug-tracking tool. This book is for Students, Teachers, data scientists, coders and professionals, and Programmers in academia who want to understand the understanding of latest Testing Automation 3.0 with live projects and tools.
This guide presents how to write the best test cases for code in 20 easy steps. It will help the reader grab some important concepts. Reading this book won't teach you testing automation Principles with Penetration Testing. You can teach yourself Unit test automation by working through all the examples and live project here, and then using what you've learned on your own problems.
Different Types of Testing
This book is organized as a taxonomy of different types of testing and a dictionary of some terms frequently used by testers. As a developer, it’s crucial to be well familiar with the nuances of this vocabulary. There’s a high probability that it has affected the way your colleagues approach quality assurance, so you’d better know where the stuff in the walls comes from. This is especially true in organizations in which development and testing have been, or still are, disconnected.
About the Author
Narendra Mohan Mittal is the Founder and Chairman of Thesis Scientist and he is working in the field of Data Science/big data/machine learning/deep learning space. He has more than 10 years in Research and Testing and he is very active in the Big Data, Data Science, Python and Machine learning.
Successful implementation of test automation has some great benefits that you can’t get from manual regression testing, we can conclude that manual testing and automated testing are essentially different. So let’s dive deeper into the differences between the two. These differences are especially important to keep in mind when coming to implement existing manual test plans as automated tests.
In general, executing manual tests can be divided into two types:
•\ Exploratory testing
•\ Planned testing
Different companies and teams have different policies regarding who, when, and if planned tests are created and executed. Some teams focus primarily on exploratory tests plus maybe a few sanity scenarios that reside only in the head of the tester. This is more common in small, start-up teams or in small software development teams that are part of a bigger organization that is not software-centric. On the other end of the spectrum, highly bureaucratic teams rely mainly on highly documented, precisely planned testing.
Table of Contents
1. Why Test Automation?
2. Different Types of Testing
3. Unit Testing Automation
4. Software Testing Techniques
5. Permutation Tests
6. How to work with Test Code?
7. Deal with Complex Tests
8. Test Design Ideas and Automation Heuristics
9. First Test to Automate
10. Testing Automation Mistakes
11. Test Automation Project
12. Tips for Automation Productivity
13. Learning Unit Tests and TDD
14. How to Write a Unit Test?
15. Automated Tests Terms
16. iOS Security and Testing
17. Building a Test Lab for Penetration Testing
18. Testing Automation Principles
19. Creating Stubs and Mocks
20. Test Automation Live Project
How to Use This Book
In larger companies or in companies that separate testing from development, the developer may be at the mercy of the QA or testing department. There will be test plans, and bugs will be called defects in a bug-tracking tool. This book is for Students, Teachers, data scientists, coders and professionals, and Programmers in academia who want to understand the understanding of latest Testing Automation 3.0 with live projects and tools.
This guide presents how to write the best test cases for code in 20 easy steps. It will help the reader grab some important concepts. Reading this book won't teach you testing automation Principles with Penetration Testing. You can teach yourself Unit test automation by working through all the examples and live project here, and then using what you've learned on your own problems.
Different Types of Testing
This book is organized as a taxonomy of different types of testing and a dictionary of some terms frequently used by testers. As a developer, it’s crucial to be well familiar with the nuances of this vocabulary. There’s a high probability that it has affected the way your colleagues approach quality assurance, so you’d better know where the stuff in the walls comes from. This is especially true in organizations in which development and testing have been, or still are, disconnected.
About the Author
Narendra Mohan Mittal is the Founder and Chairman of Thesis Scientist and he is working in the field of Data Science/big data/machine learning/deep learning space. He has more than 10 years in Research and Testing and he is very active in the Big Data, Data Science, Python and Machine learning.
543 pages, Kindle Edition
Published February 27, 2019
12 people want to read
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