AN IDENTIFICATION METHOD OF RELATED GROUP THREADS FOR A RECENT BUG THREAD BY PEAK CHARACTERISTICS OF SIMILARITIES

Yuuki Imanara, Kota Itakura, Masaki Samejima, Masanori Akiyoshi

Abstract

This paper addresses the problem to identify the related group threads that has dependent relationships with recent bug threads. Because most of recent bug threads have no dependent relationships with group threads, basic approach based on similarity regards them as having dependent relationships wrongly. In this paper, we propose an identification method of related group threads by peak characteristics of similarities. The proposed method removes recent bug threads that have no dependent relationships by Support Vector Machine based on vectors representing peak characteristics of similarities between the recent bug thread and group threads. The application result shows that the precision rate is improved by 49% and the recall rate is kept 76% on average using the proposed method.

References

  1. Black, R. (2002). Managing the Testing Process: Practical Tools and Techniques for Managing Hardware and Software Testing. John Wiley & Sons.
  2. Chen, I., Li, C., and Yang, C. (2010). Mining co-location relationships among bug reports to localize fault-prone modules. IEICE Transactions on Information and Systems, 93(5):1154-1161.
  3. Gall, H., Jazayeri, M., and Krajewski, J. (2003). CVS release history data for detecting logical couplings. In Proc. of International Workshop on Principles of Software Evolution (IWPSE2003), pages 12-23.
  4. Imanara, Y., Itakura, K., Samejima, M., and Akiyoshi, M. (2011). A detection system of dependent relationships among bug report threads. In Proc. of the 4th Japan-China Joint Symposium on Information Systems (JCIS2011), pages 65-68.
  5. Matsushita, M., Sasaki, K., and Inoue, K. (2005). Coxr: open source development history search system. Proc. of Supporting Knowledge Collaboration in Software Development, pages 821-826.
  6. Nagwani, N. K. and Singh, P. (2009). Weight similarity measurement model based, object oriented approach for bug databases mining to detect similar and duplicate bugs. In Proc. of the International Conference on Advances in Computing, Communication and Control (ICAC3 7809), pages 202-207.
  7. Serrano, N. and Ciordia, I. (2005). Bugzilla, itracker, and other bug trackers. IEEE Software, 22(2):11-13.
  8. Souza, C. R. D., Quirk, S., Trainer, E., and Redmiles, D. F. (2007). Supporting collaborative software development through the visualization of socio-technical dependencies. In Proc. of the 2007 international ACM conference on Supporting group work (GROUP 7807, pages 147-156.
  9. Sullivan, D. (2001). Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales. John Wiley & Sons.
  10. Zimmermann, T. (2009). Changes and bugs mining and predicting development activities. In Proc. of IEEE International Conference on Software Maintenance (ICSM2009), pages 443-446.
Download


Paper Citation


in Harvard Style

Imanara Y., Itakura K., Samejima M. and Akiyoshi M. (2011). AN IDENTIFICATION METHOD OF RELATED GROUP THREADS FOR A RECENT BUG THREAD BY PEAK CHARACTERISTICS OF SIMILARITIES . In Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT, ISBN 978-989-8425-77-5, pages 179-184. DOI: 10.5220/0003506401790184


in Bibtex Style

@conference{icsoft11,
author={Yuuki Imanara and Kota Itakura and Masaki Samejima and Masanori Akiyoshi},
title={AN IDENTIFICATION METHOD OF RELATED GROUP THREADS FOR A RECENT BUG THREAD BY PEAK CHARACTERISTICS OF SIMILARITIES},
booktitle={Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT,},
year={2011},
pages={179-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003506401790184},
isbn={978-989-8425-77-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT,
TI - AN IDENTIFICATION METHOD OF RELATED GROUP THREADS FOR A RECENT BUG THREAD BY PEAK CHARACTERISTICS OF SIMILARITIES
SN - 978-989-8425-77-5
AU - Imanara Y.
AU - Itakura K.
AU - Samejima M.
AU - Akiyoshi M.
PY - 2011
SP - 179
EP - 184
DO - 10.5220/0003506401790184