{"title":"部件选择问题的一种进化多目标方法","authors":"A. Vescan","doi":"10.1109/ICADIWT.2008.4664354","DOIUrl":null,"url":null,"abstract":"Component selection is a crucial problem in Component Based Software Engineering (CBSE) that is concerned with the assembly of pre-existing software components. We are approaching the component selection involving dependencies between components. We formulate the problem as multiobjective, involving 2 objectives and one constraint. The approach used is an evolutionary computation technique. The experiments and comparisons with Greedy approach show the effectiveness of the proposed approach.","PeriodicalId":189871,"journal":{"name":"2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"An evolutionary multiobjective approach for the component selection problem\",\"authors\":\"A. Vescan\",\"doi\":\"10.1109/ICADIWT.2008.4664354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Component selection is a crucial problem in Component Based Software Engineering (CBSE) that is concerned with the assembly of pre-existing software components. We are approaching the component selection involving dependencies between components. We formulate the problem as multiobjective, involving 2 objectives and one constraint. The approach used is an evolutionary computation technique. The experiments and comparisons with Greedy approach show the effectiveness of the proposed approach.\",\"PeriodicalId\":189871,\"journal\":{\"name\":\"2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICADIWT.2008.4664354\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADIWT.2008.4664354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An evolutionary multiobjective approach for the component selection problem
Component selection is a crucial problem in Component Based Software Engineering (CBSE) that is concerned with the assembly of pre-existing software components. We are approaching the component selection involving dependencies between components. We formulate the problem as multiobjective, involving 2 objectives and one constraint. The approach used is an evolutionary computation technique. The experiments and comparisons with Greedy approach show the effectiveness of the proposed approach.