Impact of restricted forward greedy feature selection technique on bug prediction
نویسندگان
چکیده
Several change metrics and source code metrics have been introduced and proved to be effective in bug prediction. Researchers performed comparative studies of bug prediction models built using the individual metrics as well as combination of these metrics. In this paper, we investigate the impact of feature selection in bug prediction models by analyzing the misclassification rates of these models with and without feature selection in place. We conduct our experiments on five open source projects by considering numerous change metrics and source code metrics. And this study aims to figure out the reliable subset of metrics that are common amongst all projects.
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ورودعنوان ژورنال:
- PeerJ PrePrints
دوره 3 شماره
صفحات -
تاریخ انتشار 2015