Article

Free access

An empirical study on bug assignment automation using Chinese bug data

Authors:

Qing WangAuthors Info & Claims

ESEM '09: Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement

Pages 451 - 455

https://doi.org/10.1109/ESEM.2009.5315994

Published: 15 October 2009 Publication History

Abstract

Bug assignment is an important step in bug life-cycle management. In large projects, this task would consume a substantial amount of human effort. To compare with the previous studies on automatic bug assignment in FOSS (Free/Open Source Software) projects, we conduct a case study on a proprietary software project in China. Our study consists of two experiments of automatic bug assignment, using Chinese text and the other non-text information of bug data respectively. Based on text data of the bug repository, the first experiment uses SVM to predict bug assignments and achieve accuracy close to that by human triagers. The second one explores the usefulness of non-text data in making such prediction. The main results from our study includes that text data are most useful data in the bug tracking system to triage bugs, and automation based on text data could effectively reduce the manual effort.

References

[1]

J. Anvik. Automating bug report assignment. In ICSE '06: Proceedings of the 28th international conference on Software engineering , pages 937-940, New York, NY, USA, 2006. ACM.

[2]

J. Anvik, L. Hiew, and G. C. Murphy. Who should fix this bug? In ICSE '06: Proceedings of the 28th international conference on Software engineering , pages 361-370, New York, NY, USA, 2006. ACM.

[3]

J. Aranda and G. Venolia. The secret life of bugs: Going past the errors and omissions in software repositories. In ICSE '09: Proceedings of the 31st international conference on Software engineering , pages 298-308, 2009.

[4]

G. Canfora and L. Cerulo. Supporting change request assignment in open source development. In SAC '06: Proceedings of the 2006 ACM symposium on Applied computing , pages 1767-1772, New York, NY, USA, 2006. ACM.

[5]

C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines , 2001. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.

[6]

P.-C. Chang, M. Galley, and C. D. Manning. Optimizing chinese word segmentation for machine translation performance.

[7]

K. Crowston, Q. Li, K. Wei, U. Y. Eseryel, and J. Howison. Self-organization of teams for free/libre open source software development. Inf. Softw. Technol. , 49(6):564-575, 2007.

[8]

D. Cubranic and G. C. Murphy. Automatic bug triage using text categorization. In F. Maurer and G. Ruhe, editors, Proceedings of the Sixteenth International Conference on Software Engineering & Knowledge Engineering , pages 92-97, June 2004.

[9]

J. Han and M. Kamber. Data Mining: Concepts and Techniques . Morgan Kaufmann, 2nd edition, 2006.

[10]

T. Joachims. Text categorization with support vector machines: Learning with many relevant features. pages 137- 142. Springer Verlag, 1998.

[11]

K. S. Jones. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation , 28:11-21, 1972.

[12]

J. R. Quinlan. C4.5: programs for machine learning . Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993.

[13]

Q. Wang and M. Li. Measuring and improving software process in china. In Empirical Software Engineering, 2005. 2005 International Symposium on , pages 10 pp.-, Nov. 2005.

[14]

Q. Wang and M. Li. Software process management: Practices in china. In Unifying the Software Process Spectrum , 2005.

[15]

I. H. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques . Morgan Kaufmann, San Francisco, 2nd edition, 2005.

Cited By

Jahanshahi HCevik MNavas-Sú JBaşar AGonzález-Torres A(2022)Wayback MachineJournal of Systems and Software10.1016/j.jss.2022.111308189:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.jss.2022.111308
Wang YLi GWang ZKang YZhou YZhang HGao FSun JYang LLee PXu ZZhao PQiao BLi LZhang XLin Q(2021)Fast Outage Analysis of Large-scale Production Clouds with Service Correlation MiningProceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00085(885-896)Online publication date: 22-May-2021
https://dl.acm.org/doi/10.1109/ICSE43902.2021.00085
Chen JHe XLin QXu YZhang HHao DGao FXu ZDang YZhang DSharp HWhalen M(2019)An empirical investigation of incident triage for online service systemsProceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice10.1109/ICSE-SEIP.2019.00020(111-120)Online publication date: 27-May-2019
https://dl.acm.org/doi/10.1109/ICSE-SEIP.2019.00020
Show More Cited By

Index Terms

An empirical study on bug assignment automation using Chinese bug data
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
      2. Software management
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
    2. Software verification and validation
      1. Software defect analysis
        Software testing and debugging
  2. Software notations and tools
    1. Software configuration management and version control systems

Recommendations

Improving bug triage with bug tossing graphs
ESEC/FSE '09: Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering

bug report is typically assigned to a single developer who is then responsible for fixing the bug. In Mozilla and Eclipse, between 37%-44% of bug reports are "tossed" (reassigned) to other developers, for example because the bug has been assigned by ...
Effective Bug Triage Based on Historical Bug-Fix Information
ISSRE '14: Proceedings of the 2014 IEEE 25th International Symposium on Software Reliability Engineering

For complex and popular software, project teams could receive a large number of bug reports. It is often tedious and costly to manually assign these bug reports to developers who have the expertise to fix the bugs. Many bug triage techniques have been ...
An Empirical Study of Bug Fixing Rate
COMPSAC '15: Proceedings of the 2015 IEEE 39th Annual Computer Software and Applications Conference - Volume 02

Bug fixing is one of the most important activities in software development and maintenance. A software project often employs an issue tracking system such as Bugzilla to store and manage their bugs. In the issue tracking system, many bugs are invalid ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings

ESEM '09: Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement

October 2009

601 pages

ISBN:9781424448425

Publisher

IEEE Computer Society

United States

Publication History

Published: 15 October 2009

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 130 of 594 submissions, 22%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

14
Total Citations
View Citations
222
Total Downloads

Downloads (Last 12 months)34
Downloads (Last 6 weeks)15

Reflects downloads up to 26 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Jahanshahi HCevik MNavas-Sú JBaşar AGonzález-Torres A(2022)Wayback MachineJournal of Systems and Software10.1016/j.jss.2022.111308189:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.jss.2022.111308
Wang YLi GWang ZKang YZhou YZhang HGao FSun JYang LLee PXu ZZhao PQiao BLi LZhang XLin Q(2021)Fast Outage Analysis of Large-scale Production Clouds with Service Correlation MiningProceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00085(885-896)Online publication date: 22-May-2021
https://dl.acm.org/doi/10.1109/ICSE43902.2021.00085
Chen JHe XLin QXu YZhang HHao DGao FXu ZDang YZhang DSharp HWhalen M(2019)An empirical investigation of incident triage for online service systemsProceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice10.1109/ICSE-SEIP.2019.00020(111-120)Online publication date: 27-May-2019
https://dl.acm.org/doi/10.1109/ICSE-SEIP.2019.00020
Goyal ASardana N(2016)Analytical Study on Bug Triaging PracticesInternational Journal of Open Source Software and Processes10.4018/IJOSSP.20160401027:2(20-42)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.4018/IJOSSP.2016040102
Badashian ADillon LVisser WWilliams L(2016)Realistic bug triagingProceedings of the 38th International Conference on Software Engineering Companion10.1145/2889160.2889268(847-850)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2889160.2889268
Park JLee MKim JHwang SKim S(2016)Cost-aware triage ranking algorithms for bug reporting systemsKnowledge and Information Systems10.1007/s10115-015-0893-948:3(679-705)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s10115-015-0893-9
Sajedi Badashian AHindle AStroulia E(2016)Crowdsourced Bug TriagingProceedings of the 19th International Conference on Fundamental Approaches to Software Engineering - Volume 963310.1007/978-3-662-49665-7_14(231-248)Online publication date: 2-Apr-2016
https://dl.acm.org/doi/10.1007/978-3-662-49665-7_14
Wang SZhang WWang QMorisio MDybå TTorchiano M(2014)FixerCacheProceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/2652524.2652536(1-10)Online publication date: 18-Sep-2014
https://dl.acm.org/doi/10.1145/2652524.2652536
Cavalcanti YMachado INeto Pde Almeida EMeira SCrnkovic IChechik MGrünbacher P(2014)Combining rule-based and information retrieval techniques to assign software change requestsProceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering10.1145/2642937.2642964(325-330)Online publication date: 15-Sep-2014
https://dl.acm.org/doi/10.1145/2642937.2642964
Cavalcanti YMota Silveira Neto PMachado IVale TAlmeida EMeira S(2014)Challenges and opportunities for software change request repositoriesJournal of Software: Evolution and Process10.1002/smr.163926:7(620-653)Online publication date: 1-Jul-2014
https://dl.acm.org/doi/10.1002/smr.1639
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents