结合活动指标和软件推荐的贡献主题

2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE) Pub Date : 2012-06-04 DOI:10.1109/RSSE.2012.6233408

K. Christidis, Fotis Paraskevopoulos, Dimitris Panagiotou, G. Mentzas

{"title":"结合活动指标和软件推荐的贡献主题","authors":"K. Christidis, Fotis Paraskevopoulos, Dimitris Panagiotou, G. Mentzas","doi":"10.1109/RSSE.2012.6233408","DOIUrl":null,"url":null,"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.","PeriodicalId":193223,"journal":{"name":"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)","volume":"751 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Combining activity metrics and contribution topics for software recommendations\",\"authors\":\"K. Christidis, Fotis Paraskevopoulos, Dimitris Panagiotou, G. Mentzas\",\"doi\":\"10.1109/RSSE.2012.6233408\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":193223,\"journal\":{\"name\":\"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)\",\"volume\":\"751 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RSSE.2012.6233408\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSSE.2012.6233408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

摘要

在本文中，我们概述了为开源软件开发社区开发的推荐系统正在进行的工作，该系统考虑了来自多个来源的信息。具体地说，我们的方法结合了贡献信息工件的潜在语义和指示开发人员活动的定量度量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Combining activity metrics and contribution topics for software recommendations

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)

自引率

0.00%

发文量