Software component recommendation using collaborative filtering

  • Authors:
  • Makoto Ichii;Yasuhiro Hayase;Reishi Yokomori;Tetsuo Yamamoto;Katsuro Inoue

  • Affiliations:
  • Osaka University, Japan;Osaka University, Japan;Nanzan University, Japan;Ritsumeikan University, Japan;Osaka University, Japan

  • Venue:
  • SUITE '09 Proceedings of the 2009 ICSE Workshop on Search-Driven Development-Users, Infrastructure, Tools and Evaluation
  • Year:
  • 2009

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Abstract

Software component retrieval systems are widely used to retrieve reusable software components. This paper proposes recommendation system integrated into software component retrieval system based on collaborative filtering. Our system uses browsing history to recommend relevant components to users. We also conducted a case study using programming tasks and found that our system enables users to efficiently retrieve reusable components.