TY - GEN
T1 - Data mining techniques for building fault-proneness models in telecom java software
AU - Arisholm, Erik
AU - Briand, Lionel C.
AU - Fuglerud, Magnus
PY - 2007
Y1 - 2007
N2 - This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high fault probability. The system under consideration is constantly evolving as several releases a year are shipped to customers. Developers usually have limited resources for their testing and inspections and would like to be able to devote extra resources to faulty system parts. The main research focus of this paper is two-fold: (1) use and compare many data mining and machine learning techniques to build fault-proneness models based mostly on source code measures and change/fault history data, and (2) demonstrate that the usual classification evaluation criteria based on confusion matrices may not be fully appropriate to compare and evaluate models.
AB - This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high fault probability. The system under consideration is constantly evolving as several releases a year are shipped to customers. Developers usually have limited resources for their testing and inspections and would like to be able to devote extra resources to faulty system parts. The main research focus of this paper is two-fold: (1) use and compare many data mining and machine learning techniques to build fault-proneness models based mostly on source code measures and change/fault history data, and (2) demonstrate that the usual classification evaluation criteria based on confusion matrices may not be fully appropriate to compare and evaluate models.
UR - http://www.scopus.com/inward/record.url?scp=47349112859&partnerID=8YFLogxK
U2 - 10.1109/ISSRE.2007.16
DO - 10.1109/ISSRE.2007.16
M3 - Conference contribution
AN - SCOPUS:47349112859
SN - 0769530249
SN - 9780769530246
T3 - Proceedings - International Symposium on Software Reliability Engineering, ISSRE
SP - 215
EP - 224
BT - Proceedings - 18th IEEE International Symposium on Software Reliability Engineering, ISSRE 2007
T2 - 18th IEEE International Symposium on Software Reliability Engineering, ISSRE 2007
Y2 - 5 November 2007 through 9 November 2007
ER -