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Authors: Yuuki Imanara ; Kota Itakura ; Masaki Samejima and Masanori Akiyoshi

Affiliation: Osaka University, Japan

Keyword(s): Bug tracking system, Related group thread, SVM, Peak characteristics of similarities.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Software Engineering ; Software Engineering Methods and Techniques ; Software Testing and Maintenance ; Symbolic Systems

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.

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Paper citation in several formats:
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; ISSN 2184-2833, SciTePress, pages 179-184. DOI: 10.5220/0003506401790184

@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},
issn={2184-2833},
}

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
IS - 2184-2833
AU - Imanara, Y.
AU - Itakura, K.
AU - Samejima, M.
AU - Akiyoshi, M.
PY - 2011
SP - 179
EP - 184
DO - 10.5220/0003506401790184
PB - SciTePress

- Science and Technology Publications, Lda.
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