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}
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.