Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IET Software Pub Date : 2023-01-06 DOI:10.1049/sfw2.12091

Muhammad Shafiq, Fatemah H. Alghamedy, Nasir Jamal, Tahir Kamal, Y. Daradkeh, Mohammad Shabaz

引用次数: 0

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利用优化的机器学习技术进行软件故障预测的科学编程，以提高软件质量

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Software 工程技术-计算机：软件工程

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

9 months

期刊介绍： IET Software publishes papers on all aspects of the software lifecycle, including design, development, implementation and maintenance. The focus of the journal is on the methods used to develop and maintain software, and their practical application. Authors are especially encouraged to submit papers on the following topics, although papers on all aspects of software engineering are welcome: Software and systems requirements engineering Formal methods, design methods, practice and experience Software architecture, aspect and object orientation, reuse and re-engineering Testing, verification and validation techniques Software dependability and measurement Human systems engineering and human-computer interaction Knowledge engineering; expert and knowledge-based systems, intelligent agents Information systems engineering Application of software engineering in industry and commerce Software engineering technology transfer Management of software development Theoretical aspects of software development Machine learning Big data and big code Cloud computing Current Special Issue. Call for papers: Knowledge Discovery for Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_KDSD.pdf Big Data Analytics for Sustainable Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_BDASSD.pdf