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

被引:6
|
作者
Razzaq, Seher [1 ]
Li, Yan-Fu [2 ]
Lin, Chu-Ti [3 ]
Xie, Min [1 ]
机构
[1] City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
[2] Tsinghua Univ, Dept Ind Engn, Beijing, Peoples R China
[3] Natl Chiayi Univ, Dept Comp Sci & Informat Engn, Chiayi, Taiwan
关键词
open source software; bug reports; bug correction; bug life cycle; contributor's comments; reliability assessment; RELIABILITY; MODEL;
D O I
10.1109/QRS-C.2018.00050
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:229 / 234
页数:6
相关论文
共 50 条
  • [41] From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects
    Vieira, Renan
    da Silva, Antonio
    Rocha, Lincoln
    Gomes, Joao Paulo
    15TH INTERNATIONAL CONFERENCE ON PREDICTIVE MODELS AND DATA ANALYTICS IN SOFTWARE ENGINEERING (PROMISE'19), 2019, : 80 - 89
  • [42] DENATURE: duplicate detection and type identification in open source bug repositories
    Ruby Chauhan
    Shakshi Sharma
    Anjali Goyal
    International Journal of System Assurance Engineering and Management, 2023, 14 : 275 - 292
  • [43] DENATURE: duplicate detection and type identification in open source bug repositories
    Chauhan, Ruby
    Sharma, Shakshi
    Goyal, Anjali
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2023, 14 (SUPPL 1) : S275 - S292
  • [44] On Predicting the Time taken to Correct Bug Reports in Open Source Projects
    Anbalagan, Prasanth
    Vouk, Mladen
    2009 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE, CONFERENCE PROCEEDINGS, 2009, : 523 - 526
  • [45] Impact of switching bug trackers: a case study on a medium-sized open source project
    Zimmermann, Theo
    Artis, Annali Casanueva
    2019 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2019), 2019, : 13 - 23
  • [46] A bug finder refined by a large set of open-source projects
    Nam, Jaechang
    Wang, Song
    Xi, Yuan
    Tan, Lin
    INFORMATION AND SOFTWARE TECHNOLOGY, 2019, 112 : 164 - 175
  • [47] Automated Extraction of Security Concerns from Bug Reports
    Alqahtani, Sultan S.
    2019 17TH INTERNATIONAL CONFERENCE ON PRIVACY, SECURITY AND TRUST (PST), 2019, : 327 - 329
  • [48] Using bug report as a software quality measure: An empirical study
    Yu, L. (ligyu@iusb.edu), 1600, Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (03):
  • [49] Wayback Machine: A tool to capture the evolutionary behavior of the bug reports and their triage process in open-source software systems
    Jahanshahi, Hadi
    Cevik, Mucahit
    Navas-Su, Jose
    Basar, Ayse
    Gonzalez-Torres, Antonio
    JOURNAL OF SYSTEMS AND SOFTWARE, 2022, 189
  • [50] Comprehensive Study on Machine Learning Techniques for Software Bug Prediction
    Khleel, Nasraldeen Alnor Adam
    Nehez, Karoly
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (08) : 726 - 735