Recommendation of Software Technologies Based on Collaborative Filtering

Authors:
Tomohiro Akinaga;Naoki Ohsugi;Masateru Tsunoda;Takeshi Kakimoto;Akito Monden;Ken-ichi Matsumoto
Affiliations:
Nara Institute of Science and Technology;Nara Institute of Science and Technology;Nara Institute of Science and Technology;Nara Institute of Science and Technology;Nara Institute of Science and Technology;Nara Institute of Science and Technology
Venue:
APSEC '05 Proceedings of the 12th Asia-Pacific Software Engineering Conference
Year:
2005

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Abstract

Software engineers have to select some appropriate development technologies to use in the work; however, engineers sometimes cannot find the appropriate technologies because there are vast amount of options today. To solve this problem, we propose a software technology recommendation method based on Collaborative Filtering (CF). In the proposed method, at first, questionnaires are collected from concerned engineers about their technical interest. Next, similarities between an active engineer who gets recommendation and the other engineers are calculated according to the technical interests. Then, some similar engineers are selected for the active engineer. At last, some technologies are recommended which attract the similar engineers. An experimental evaluation showed that the proposed method can make accurate recommendations than that of a naïve (non-CF) method.