减少测试套件的无监督机器学习方法

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-03-04 DOI:10.1080/08839514.2024.2322336

Anila Sebastian, Hira Naseem, Cagatay Catal

引用次数: 0

摘要

要确保质量和可靠性，就必须在开发周期的每个阶段进行全面的软件测试。随着软件系统规模、复杂性和功能的增长，软件测试的并行扩展也变得越来越重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Unsupervised Machine Learning Approaches for Test Suite Reduction

Ensuring quality and reliability mandates thorough software testing at every stage of the development cycle. As software systems grow in size, complexity, and functionality, the parallel expansion ...

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.