| 书目名称 | Software Testing Automation | | 副标题 | Testability Evaluati | | 编辑 | Saeed Parsa | | 视频video | | | 概述 | Presents advanced topics in software testing.Provides in-depth insights into the development of software tools to evaluate, refactor, and generate test data.Is a textbook to be used as a reference for | | 图书封面 |  | | 描述 | .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...Part I. describes unit and acceptance tests and proposes a new method called testability-driven development (TsDD) in support of TDD and BDD. TsDD uses a machine learning model to measure testability before and after refactoring. The reader will learn how to develop the testability prediction model and write software tools for automatic refactoring...Part II. focuses on developing tools for automatic fault localization. This part shows the reader how to use a compiler generator to instrument source code, create control flow graphs, identify prime paths, and slice the source code. On top of these tools, a software tool, Diagnoser, is offered to facilitate experimenting with and developing new fault localization algorithms. Diagnoser takes a source code and its test suite as input and reports the coverage provided by the test cases and the suspiciousness sco | | 出版日期 | Book 2023 | | 关键词 | Software Engineering; Software Testing Automation; Testability Evaluation; Refactoring; Test Data genera | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-22057-9 | | isbn_softcover | 978-3-031-22059-3 | | isbn_ebook | 978-3-031-22057-9 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:28:58
