TY - GEN
T1 - BugMiner
T2 - SEKE 2011 - Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering
AU - Wu, Leon
AU - Xie, Boyi
AU - Kaiser, Gail
AU - Passonneau, Rebecca Jane
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Software bugs reported by human users and automatic error reporting software are often stored in some bug tracking tools (e.g., Bugzilia and Debbugs). These accumulated bug reports may contain valuable information that could be used to improve the quality of the bug reporting, reduce the quality assurance effort and cost, analyze software reliability, and predict future bug report trend. In this paper, we present BugMiner, a tool that is able to derive useful information from historic bug report database using data mining, use these information to do completion check and redundancy check on a new or given bug report, and to estimate the bug report trend using statistical analysis. Our empirical studies of the tool using several real-world bug report repositories show that it is effective, easy to implement, and has relatively high accuracy despite low quality data.
AB - Software bugs reported by human users and automatic error reporting software are often stored in some bug tracking tools (e.g., Bugzilia and Debbugs). These accumulated bug reports may contain valuable information that could be used to improve the quality of the bug reporting, reduce the quality assurance effort and cost, analyze software reliability, and predict future bug report trend. In this paper, we present BugMiner, a tool that is able to derive useful information from historic bug report database using data mining, use these information to do completion check and redundancy check on a new or given bug report, and to estimate the bug report trend using statistical analysis. Our empirical studies of the tool using several real-world bug report repositories show that it is effective, easy to implement, and has relatively high accuracy despite low quality data.
UR - http://www.scopus.com/inward/record.url?scp=84855528831&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84855528831&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84855528831
SN - 1891706292
SN - 9781891706295
T3 - SEKE 2011 - Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering
SP - 95
EP - 100
BT - SEKE 2011 - Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering
Y2 - 7 July 2011 through 9 July 2011
ER -