The Way Ahead for Bug-fix time Prediction

— The bug-fix time i.e. the time to fix a bug after the bug was introduced is an important factor for bug related analysis, such as measuring software quality or coordinating development effort during bug triaging. Previous work has proposed many bug-fix time prediction models that use various bug attributes (number of developers who participated in fixing the bug, bug severity, bug-opener’s reputation, number of patches) for predicting the fix time of a newly reported bug. In this paper, we have investigated the associations between bug attributes and the bug-fix time. We have proposed two approaches to apply association rule mining. In the first approach, we have used Apriori algorithm to predict the fix time of a newly coming bug based on the bug’s severity, priority summary terms and assignee. In second approach, we have used k-means clustering method to get groups of correlated variables followed by association rule mining inside each cluster. We have collected 1,695 bug rep...

• Type: Journal
• Year: 2015
• Where: APSEC
• Authors: Meera Sharma, Madhu Kumari, V. B. Singh
• Keywords: APSEC 2015, Software Engineering