Title :
Recommendation of software technologies based on collaborative filtering
Author :
Akinaga, Tomohiro ; Ohsugi, Naoki ; Tsunoda, Masateru ; Kakimoto, Takeshi ; Monden, Akito ; Matsumoto, Ken-ichi
Author_Institution :
Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan
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 naive (non-CF) method.
Keywords :
information filtering; software engineering; collaborative filtering; software engineer; software technology recommendation method; Appropriate technology; Capability maturity model; Collaborative software; Collaborative work; Data engineering; Filtering; Information retrieval; Information science; Programming; Recommender systems; education; information retrieval; recommender systems; similarity computation algorithms;
Conference_Titel :
Software Engineering Conference, 2005. APSEC '05. 12th Asia-Pacific
Print_ISBN :
0-7695-2465-6
DOI :
10.1109/APSEC.2005.94