| 书目名称 | Optimization of Automated Software Testing Using Meta-Heuristic Techniques |
| 编辑 | Manju Khari,Deepti Bala Mishra,Ruben Gonzalez Cres |
| 视频video | |
| 概述 | Supports the advancement in the artificial intelligence used in software development.Advances knowledge on artificial intelligence based metaheuristic approach in software testing.Encourages innovatio |
| 丛书名称 | EAI/Springer Innovations in Communication and Computing |
| 图书封面 |  |
| 描述 | .This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing..Supports the advancement in the artificial intelligence used in software development;.Advances knowledge on artificial intelligence based metaheuristic approach in software testing;.Encourages innovation in traditional software testing field using recent artificial intelligence..· . |
| 出版日期 | Book 2022 |
| 关键词 | Code Level Testing; Coverage Based Testing, Path Testing; Mutation Testing; Regression Testing; Model Ba |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-07297-0 |
| isbn_softcover | 978-3-031-07299-4 |
| isbn_ebook | 978-3-031-07297-0Series ISSN 2522-8595 Series E-ISSN 2522-8609 |
| issn_series | 2522-8595 |
| copyright | Springer Nature Switzerland AG 2022 |
发表于 2025-3-21 19:16:06
