Paper Info
Title
Combining activity metrics and contribution topics for software recommendations
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.
Year
DOI
Venue
2012
10.1109/RSSE.2012.6233408
Recommendation Systems for Software Engineering
Keywords
Field
DocType
public domain software,recommender systems,software metrics,activity metrics,contributed information artifacts,contribution topics,latent semantics,open source software development communities,quantitative metrics,recommender system,software recommendations,semantic analysis,software development,topic models,data mining,semantics,measurement,work in progress
Recommender system,World Wide Web,Software engineering,Work in process,Computer science,Software,Topic model,Software metric,Software development,Semantics,Open-source software development
Conference
ISBN
Citations 
PageRank 
978-1-4673-1758-0
3
0.41
References 
Authors
16
4
Name
Order
Citations
PageRank
Konstantinos Christidis1514.21
Fotis Paraskevopoulos282.93
Dimitris Panagiotou3203.38
Gregoris Mentzas484498.72