TY - GEN
T1 - Bug report recommendation for code inspection
AU - Fujiwara, Shin
AU - Hata, Hideaki
AU - Monden, Akito
AU - Matsumoto, Kenichi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/30
Y1 - 2015/3/30
N2 - Large software projects such as Mozilla Firefox and Eclipse own more than ten thousand bug reports that have been reported but left unresolved. To utilize such a great amount of unresolved bug reports and accelerate bug detection and removal, we propose to a way recommend programmers a bug report that is likely to contain failure descriptions related to a source file being inspected. We employ the vector space model (VSM) to make a relevancy ranking of bug reports to a given source file. The result of an experiment using data of three open source software projects showed that the accuracies of recommendations ranged from 21.74% to 60.05% in terms of the percentage of recommendations that contained relevant bug reports in a top 10 recommended list.
AB - Large software projects such as Mozilla Firefox and Eclipse own more than ten thousand bug reports that have been reported but left unresolved. To utilize such a great amount of unresolved bug reports and accelerate bug detection and removal, we propose to a way recommend programmers a bug report that is likely to contain failure descriptions related to a source file being inspected. We employ the vector space model (VSM) to make a relevancy ranking of bug reports to a given source file. The result of an experiment using data of three open source software projects showed that the accuracies of recommendations ranged from 21.74% to 60.05% in terms of the percentage of recommendations that contained relevant bug reports in a top 10 recommended list.
UR - https://www.scopus.com/pages/publications/84930470196
UR - https://www.scopus.com/pages/publications/84930470196#tab=citedBy
U2 - 10.1109/SWAN.2015.7070481
DO - 10.1109/SWAN.2015.7070481
M3 - Conference contribution
AN - SCOPUS:84930470196
T3 - 2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings
SP - 9
EP - 12
BT - 2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Workshop on Software Analytics, SWAN 2015, co-located with the 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2015
Y2 - 2 March 2015 through 2 March 2015
ER -