Activity Mining in Open Source Software
نویسندگان
چکیده
Open Source software repository is a collection of various projects with varying levels of activities, participations, and downloads. In this paper, we attempt to categorize and mine activity, thus discovering success, by focusing on the Games group. However, we observe that there are a significant number of projects within the Games category that are inactive or have no ranking assigned by Sourceforge. So, we first segmented our dataset based on just the ranking or activity assigned. We then constructed a set of characteristics, such as number of developers; number of posters; number of downloads, to identify associations, activity, and relationships in the smaller active set. We used regression rules and association rules to discover the associations and relationships. Contact: Prof. Nitesh Chawla Dept. of Computer Science and Engineering University of Notre Dame Notre Dame, IN 46556 Tel: 1-574-631-3637 Fax: 1-574-631-9260 Email: [email protected]
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