Software defect prediction: future directions and challenges

IF 2 2区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Automated Software Engineering Pub Date : 2024-02-27 DOI:10.1007/s10515-024-00424-1
Zhiqiang Li, Jingwen Niu, Xiao-Yuan Jing
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Abstract

Software defect prediction is one of the most popular research topics in software engineering. The objective of defect prediction is to identify defective instances prior to the occurrence of software defects, thus it aids in more effectively prioritizing software quality assurance efforts. In this article, we delve into various prospective research directions and potential challenges in the field of defect prediction. The aim of this article is to propose a range of defect prediction techniques and methodologies for the future. These ideas are intended to enhance the practicality, explainability, and actionability of the predictions of defect models.

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软件缺陷预测:未来方向与挑战
软件缺陷预测是软件工程领域最热门的研究课题之一。缺陷预测的目的是在软件缺陷发生之前识别缺陷实例,从而更有效地确定软件质量保证工作的优先次序。本文将深入探讨缺陷预测领域的各种前瞻性研究方向和潜在挑战。本文旨在为未来提出一系列缺陷预测技术和方法。这些观点旨在提高缺陷模型预测的实用性、可解释性和可操作性。
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来源期刊
Automated Software Engineering
Automated Software Engineering 工程技术-计算机:软件工程
CiteScore
4.80
自引率
11.80%
发文量
51
审稿时长
>12 weeks
期刊介绍: This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.
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