{"title":"软件生命周期模型选择的模糊多准则决策方法","authors":"Mumin Hicdurmaz","doi":"10.1109/SEAA.2012.71","DOIUrl":null,"url":null,"abstract":"In software engineering project management, one of the critical issues is the selection of appropriate software life cycle model (SLCM), which may affect the success of the project as all stages of software development process is established according to the model selected. The aim of this study is to propose a fuzzy multi criteria decision making (MCDM) approach to SLCM selection, since fuzzy sets are inevitable in representing uncertainty, vagueness and human subjectivity. This study provides a view of existing software life cycle models, important factors to be considered and a new approach for SLCM selection. An application is carried out using the proposed method and sensitivity analysis is presented.","PeriodicalId":298734,"journal":{"name":"2012 38th Euromicro Conference on Software Engineering and Advanced Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"A Fuzzy Multi Criteria Decision Making Approach to Software Life Cycle Model Selection\",\"authors\":\"Mumin Hicdurmaz\",\"doi\":\"10.1109/SEAA.2012.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In software engineering project management, one of the critical issues is the selection of appropriate software life cycle model (SLCM), which may affect the success of the project as all stages of software development process is established according to the model selected. The aim of this study is to propose a fuzzy multi criteria decision making (MCDM) approach to SLCM selection, since fuzzy sets are inevitable in representing uncertainty, vagueness and human subjectivity. This study provides a view of existing software life cycle models, important factors to be considered and a new approach for SLCM selection. An application is carried out using the proposed method and sensitivity analysis is presented.\",\"PeriodicalId\":298734,\"journal\":{\"name\":\"2012 38th Euromicro Conference on Software Engineering and Advanced Applications\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 38th Euromicro Conference on Software Engineering and Advanced Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEAA.2012.71\",\"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 38th Euromicro Conference on Software Engineering and Advanced Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEAA.2012.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fuzzy Multi Criteria Decision Making Approach to Software Life Cycle Model Selection
In software engineering project management, one of the critical issues is the selection of appropriate software life cycle model (SLCM), which may affect the success of the project as all stages of software development process is established according to the model selected. The aim of this study is to propose a fuzzy multi criteria decision making (MCDM) approach to SLCM selection, since fuzzy sets are inevitable in representing uncertainty, vagueness and human subjectivity. This study provides a view of existing software life cycle models, important factors to be considered and a new approach for SLCM selection. An application is carried out using the proposed method and sensitivity analysis is presented.