{"title":"基于模糊多智能体度量的软件过程性能度量","authors":"M. Seyyedi, M. Teshnehlab, F. S. Aliee","doi":"10.1109/ITCC.2005.190","DOIUrl":null,"url":null,"abstract":"The present article discusses and presents a new comprehensive approach aimed at measuring the maturity and quality of software processes. This method has been designed on the basis of software Capability Maturity Model (SW-CMM) and the multi-level fuzzy inference model and is used as a measurement and analysis tool. Among the most important characteristics of this method one can mention simple usage, accuracy, quantitative measures and comparability. Fuzzy logic-based tools are designed to provide such functions.","PeriodicalId":326887,"journal":{"name":"International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Measuring software processes performance based on the fuzzy multi agent measurements\",\"authors\":\"M. Seyyedi, M. Teshnehlab, F. S. Aliee\",\"doi\":\"10.1109/ITCC.2005.190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present article discusses and presents a new comprehensive approach aimed at measuring the maturity and quality of software processes. This method has been designed on the basis of software Capability Maturity Model (SW-CMM) and the multi-level fuzzy inference model and is used as a measurement and analysis tool. Among the most important characteristics of this method one can mention simple usage, accuracy, quantitative measures and comparability. Fuzzy logic-based tools are designed to provide such functions.\",\"PeriodicalId\":326887,\"journal\":{\"name\":\"International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCC.2005.190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2005.190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring software processes performance based on the fuzzy multi agent measurements
The present article discusses and presents a new comprehensive approach aimed at measuring the maturity and quality of software processes. This method has been designed on the basis of software Capability Maturity Model (SW-CMM) and the multi-level fuzzy inference model and is used as a measurement and analysis tool. Among the most important characteristics of this method one can mention simple usage, accuracy, quantitative measures and comparability. Fuzzy logic-based tools are designed to provide such functions.