On deriving actions for improving cost overrun by applying association rule mining to industrial project repository

Authors:
Junya Debari;Osamu Mizuno;Tohru Kikuno;Nahomi Kikuchi;Masayuki Hirayama
Affiliations:
Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan;Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan;Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan;Software Engineering Center, Information-technology Promotion Agency, Tokyo, Japan;Software Engineering Center, Information-technology Promotion Agency, Tokyo, Japan
Venue:
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Year:
2008

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Abstract

For software project management, it is very important to identify riskfactors which make project into runaway. In this study, we propose a method toextract improvement action items for a software project by applying associationrule mining to the software project repository for a metric of "cost overrun". Wefirst mine a number of association rules affecting cost overrun. We then groupcompatible rules, which include several common metrics having different values,from the mined rules and extract improvement action items of project improvement.In order to evaluate the applicability of our method, we applied our methodto the project data repository collected from plural companies in Japan. The resultof experiment showed that project improvement actions for cost overrun weresemi-automatically extracted from the mined association rules. We can confirmfeasibility of our method by comparing these actions with the results in the previousresearch.