Combining activity metrics and contribution topics for software recommendations

Christidis, K; Paraskevopoulos, F; Panagiotou, D; Mentzas, G

dc.contributor.author	Christidis, K	en
dc.contributor.author	Paraskevopoulos, F	en
dc.contributor.author	Panagiotou, D	en
dc.contributor.author	Mentzas, G	en
dc.date.accessioned	2014-03-01T02:53:35Z
dc.date.available	2014-03-01T02:53:35Z
dc.date.issued	2012	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36428
dc.subject	Recommender System	en
dc.subject	Semantic Analysis	en
dc.subject	Software Development	en
dc.subject	Topic Models	en
dc.subject.other	Latent semantics	en
dc.subject.other	Multiple source	en
dc.subject.other	Open source software development	en
dc.subject.other	Quantitative metrics	en
dc.subject.other	Semantic analysis	en
dc.subject.other	Topic model	en
dc.subject.other	Work in progress	en
dc.subject.other	Semantics	en
dc.subject.other	Software design	en
dc.subject.other	Software engineering	en
dc.subject.other	Recommender systems	en
dc.title	Combining activity metrics and contribution topics for software recommendations	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/RSSE.2012.6233408	en
heal.identifier.secondary	http://dx.doi.org/10.1109/RSSE.2012.6233408	en
heal.identifier.secondary	6233408	en
heal.publicationDate	2012	en
heal.abstract	In this paper we outline work in progress for the development of a recommender system for open source software development communities that takes into account information from multiple sources. Specifically our approach combines latent semantics of contributed information artifacts with quantitative metrics that indicate developer activity. © 2012 IEEE.	en
heal.journalName	2012 3rd International Workshop on Recommendation Systems for Software Engineering, RSSE 2012 - Proceedings	en
dc.identifier.doi	10.1109/RSSE.2012.6233408	en
dc.identifier.spage	43	en
dc.identifier.epage	46	en