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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018 |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. |
| Pages | 229-234 |
| ISBN (electronic) | 978-1-5386-7839-8 |
| Publication status | Published - Jul 2018 |
Conference
| Title | 18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018 |
|---|---|
| Place | Portugal |
| City | Lisbon |
| Period | 16 - 20 July 2018 |
Link(s)
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. Institute of Electrical and Electronics Engineers, Inc., 2018. p. 229-234 8431978.
Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018. Institute of Electrical and Electronics Engineers, Inc., 2018. p. 229-234 8431978.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
