arrow
Return

Bug Localization for Version Issues With Defect Patterns

delete2019-01-01
delete18
delete
OA
AI
X
Xiaobing Sun
周伟 cover
周伟 (Wei Zhou)
李彬 cover
李彬 (Bin Li) *
Z
Zhen Ni
J
Jinting Lu
DOI:10.1109/ACCESS.2019.2894976delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Version issues are becoming more and more prominent with the continuous development of software. Bug localization for version issues is time-consuming and labor-intensive. Although some bug localization techniques, such as those based on information retrieval (IR), have been proposed, they cannot handle these bugs very well as the version-related bugs have their own defect patterns. However, few existing works have focused on revealing these defect patterns and utilizing them for localization of bugs. To fill this gap, we propose a new approach by leveraging the version-related defect patterns to localize the version-related issues integrated with the IR technique. First, we extract version-related bugs from bug repositories and build a version-related bug repository. Given a new version-related bug report, we identify the defect patterns of corresponding similar historical bug reports from the version-related bug repository. Then, we combine these defect patterns with the IR technique to rank the candidate code snippets as suspicious code for developers to fix. The evaluation demonstrates that our approach is more effective to identify the faulty code related to version issues than the existing IR-based bug localization technique.
Keywords:
Version issues
bug localization
defect patterns
information retrieval
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

Y
Yangzhou University
Scholars:
2.8W
Papers: 1.9W
Citations: 3.3W
Cited Papers

Cited Papers

The Problem of Social Reality
err1996-01-01
err0
PREAI
errAlfred Schutz
errShare
errSave
errShare
errSave
Overview of Dermatologic Disorders of Neonates in a Central Regional Intensive Care Unit in Hungary
err2014-12-22
err0
errOAAI
errZsanett Csoma; Angéla Meszes; Krisztina Mader; Lajos Kemény; Gyula Tálosi
errShare
errSave
Network-Clustered Multi-Modal Bug Localization
err2019-10-01
err30
errOAAI
errThong Hoang; Oentaryo, Richard J.; Le, Tien-Duy B.; Lo, David
errShare
errSave
Personalized project recommendation on GitHub
err2018-04-20
err26
PREAI
errSun, Xiaobing; Xu, Wenyuan; Xia, Xin; Chen, Xiang; Li, Bin
errShare
errSave
Comparing learning to rank techniques in hybrid bug localization
err2018-01-01
err29
PREAI
errShi, Zhendong; Keung, Jacky; Bennin, Kwabena Ebo; Zhang, Xingjun
errShare
errSave
Electromagnetic field and spontaneous symmetry breaking in biological matter
err1986-10-01
err0
PREAI
errE. del Giudice; S. Doglia; M. Milani; G. Vitiello
errShare
errSave
researcher View more