A Study of the Extraction of Bug Judgment and Correction Times from Open Source Software Bug Logs

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

7 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
PublisherIEEE
Pages229-234
ISBN (Electronic)978-1-5386-7839-8
Publication statusPublished - Jul 2018

Conference

Title18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
PlacePortugal
CityLisbon
Period16 - 20 July 2018

Abstract

Cost and time effective solution for software reliability analysis is becoming the biggest concern for open source software development. The open source software development process is a bug driven development and its life cycle cost is mainly incurred in bug correction process. Bug reports, with its various features, play an important role in improving the quality of software products. Unfortunately, less attention is paid towards extraction of important attributes from bug logs. This paper is focused on the comment feature of bug repositories to extract bug judgment and correction times for the open source software reliability model building. A bug report life cycle model is presented and the method to compute the two time points is proposed. The study used datasets from ten official releases of Apache 2.0 to draw empirical results. The proposition is expected to assist in open source software reliability model building.

Research Area(s)

  • Bug correction, Bug life cycle, Bug reports, Contributor's comments, Open source software, Reliability assessment

Citation Format(s)

A Study of the Extraction of Bug Judgment and Correction Times from Open Source Software Bug Logs. / Razzaq, Seher; Li, Yan-Fu; Lin, Chu-Ti et al.
Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018. IEEE, 2018. p. 229-234 8431978.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review