Software defect prediction: future directions and challenges

被引：7
作者：
Li, Zhiqiang [1 ]
Niu, Jingwen [2 ]
Jing, Xiao-Yuan [3 ,4 ]
机构：
[1] Shaanxi Normal Univ, Sch Comp Sci, Xian 710119, Peoples R China
[2] Xinxiang Univ, Sch Comp & Informat Engn, Xinxiang 453003, Peoples R China
[3] Wuhan Univ, Sch Comp Sci, Wuhan 430072, Peoples R China
[4] Guangdong Univ Petrochem Technol, Sch Comp, Maoming 525000, Peoples R China
来源：
AUTOMATED SOFTWARE ENGINEERING | 2024年 / 31卷 / 01期
关键词：
Software defect prediction; Empirical software engineering; Software analytics; Quality assurance; FRAMEWORK; MODELS; CODE;
D O I：
10.1007/s10515-024-00424-1
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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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页数：14
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