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

筛选
英文 中文
Software Feature Model recommendations using data mining 软件特征模型建议使用数据挖掘
Abdel Salam Sayyad, H. Ammar, T. Menzies
{"title":"Software Feature Model recommendations using data mining","authors":"Abdel Salam Sayyad, H. Ammar, T. Menzies","doi":"10.1109/RSSE.2012.6233409","DOIUrl":"https://doi.org/10.1109/RSSE.2012.6233409","url":null,"abstract":"Feature Models are popular tools for describing software product lines. Analysis of feature models has traditionally focused on consistency checking (yielding a yes/no answer) and product selection assistance, interactive or offline. In this paper, we describe a novel approach to identify the most critical decisions in product selection/configuration by taking advantage of a large pool of randomly generated, generally inconsistent, product variants. Range Ranking, a data mining technique, is utilized to single out the most critical design choices, reducing the job of the human designer to making less consequential decisions. A large feature model is used as a case study; we show preliminary results of the new approach to illustrate its usefulness for practical product derivation.","PeriodicalId":193223,"journal":{"name":"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Automated assessment of correctness of recommendation systems 自动评估推荐系统的正确性
A. Lozano, Andy Kellens, K. Mens
{"title":"Automated assessment of correctness of recommendation systems","authors":"A. Lozano, Andy Kellens, K. Mens","doi":"10.1109/RSSE.2012.6233410","DOIUrl":"https://doi.org/10.1109/RSSE.2012.6233410","url":null,"abstract":"Using a concrete example, this position paper makes a case for evaluating the correctness of software recommendation systems in an automated way, prior to conducting user studies, in order to assess the validity of the results and ideal configuration of the system to be evaluated.","PeriodicalId":193223,"journal":{"name":"2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132979910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信