基于偏好的多目标软件建模

Mohamed Wiem Mkaouer, M. Kessentini, Slim Bechikh, D. Tauritz
{"title":"基于偏好的多目标软件建模","authors":"Mohamed Wiem Mkaouer, M. Kessentini, Slim Bechikh, D. Tauritz","doi":"10.1109/CMSBSE.2013.6605712","DOIUrl":null,"url":null,"abstract":"In this paper, we propose the use of preference-based evolutionary multi-objective optimization techniques (P-EMO) to address various software modelling challenges. P-EMO allows the incorporation of decision maker (i.e., designer) preferences (e.g., quality, correctness, etc.) in multi-objective optimization techniques by restricting the Pareto front to a region of interest easing the decision making task. We discuss the different challenges and potential benefits of P-EMO in software modelling. We report experiments on the use of P-EMO on a well-known modeling problem where very promising results are obtained.","PeriodicalId":193450,"journal":{"name":"2013 1st International Workshop on Combining Modelling and Search-Based Software Engineering (CMSBSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Preference-based multi-objective software modelling\",\"authors\":\"Mohamed Wiem Mkaouer, M. Kessentini, Slim Bechikh, D. Tauritz\",\"doi\":\"10.1109/CMSBSE.2013.6605712\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose the use of preference-based evolutionary multi-objective optimization techniques (P-EMO) to address various software modelling challenges. P-EMO allows the incorporation of decision maker (i.e., designer) preferences (e.g., quality, correctness, etc.) in multi-objective optimization techniques by restricting the Pareto front to a region of interest easing the decision making task. We discuss the different challenges and potential benefits of P-EMO in software modelling. We report experiments on the use of P-EMO on a well-known modeling problem where very promising results are obtained.\",\"PeriodicalId\":193450,\"journal\":{\"name\":\"2013 1st International Workshop on Combining Modelling and Search-Based Software Engineering (CMSBSE)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 1st International Workshop on Combining Modelling and Search-Based Software Engineering (CMSBSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMSBSE.2013.6605712\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 1st International Workshop on Combining Modelling and Search-Based Software Engineering (CMSBSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMSBSE.2013.6605712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

摘要

在本文中,我们提出使用基于偏好的进化多目标优化技术(P-EMO)来应对各种软件建模挑战。P-EMO 允许将决策者(即设计者)的偏好(如质量、正确性等)纳入多目标优化技术,通过将帕累托前沿限制在感兴趣的区域来简化决策任务。我们讨论了 P-EMO 在软件建模中的不同挑战和潜在优势。我们报告了在一个著名的建模问题上使用 P-EMO 的实验情况,结果非常令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preference-based multi-objective software modelling
In this paper, we propose the use of preference-based evolutionary multi-objective optimization techniques (P-EMO) to address various software modelling challenges. P-EMO allows the incorporation of decision maker (i.e., designer) preferences (e.g., quality, correctness, etc.) in multi-objective optimization techniques by restricting the Pareto front to a region of interest easing the decision making task. We discuss the different challenges and potential benefits of P-EMO in software modelling. We report experiments on the use of P-EMO on a well-known modeling problem where very promising results are obtained.
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
自引率
0.00%
发文量
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×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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:604180095
Book学术官方微信