2015 Volume 32 Issue 2 Pages 2_128-2_134
A large number of bugs are reported to a large-scale open source software (OSS) project. Since it is very difficult to fix all the bugs, a manager in the project needs to know time to fix bugs to decide which bugs should be fixed before the next release. In this paper we focus on social relationships between assignors and assignees and construct prediction models based on a random forest method and logistic regression, in order to predict the time to fix bugs. As a result of our experiment, we show that our model predicts more accurately whether a bug is fixed within a day or not, compared with the existing prediction model.