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Can I read SOFTWARE TESTING AUTOMATION : testability evaluation, refactoring, test data generation... and fault localization on EtoBox?
SOFTWARE TESTING AUTOMATION : testability evaluation, refactoring, test data generation... and fault localization by Saeed Parsa is a nonfiction available to read on EtoBox.
What is SOFTWARE TESTING AUTOMATION : testability evaluation, refactoring, test data generation... and fault localization about?
This book is about the design and development of tools for software testing. It intends to get the reader involved in software testing rather than simply memorizing the concepts. The source codes are downloadable from the book website. The book has three parts: software testability, fault localization, and test data generation. The ability to test software efficiently and thoroughly is a hallmark of high-quality software. For code to be tested thoroughly, it should be testable in the first place. Testers, in a sense, are customers of developers. Developers must undertake an approach that keeps the code clean and efficient. Clean and efficient code is highly testable. Refactoring techniques help develop testable code. As the testability improves, automatic test data generation tools can provide relatively more efficient and effective test data. This book offers a machine learning tool to measure software testability based on which a software development process, Testability-Driven Development (TsDD), in support of test-first approaches is suggested. Testing is something practical. Software testing is all practice. It relies on knowledge but is more than learning. It is based on prog
Who reads SOFTWARE TESTING AUTOMATION : testability evaluation, refactoring, test data generation... and fault localization?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Saeed Parsa
- Publisher
- Springer Nature Switzerland AG
- Published
- 2023
- Language
- EN
- ISBN
- 9783031220579
- Category
- nonfiction
- Subjects
- Engineering, Science, Stem
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