{"title":"一种基于对象的特征依赖图分析方法","authors":"Guanzhong Yang, Rong Zhou","doi":"10.1109/FSKD.2016.7603413","DOIUrl":null,"url":null,"abstract":"The traditional object model only focuses on single application system, cannot represent the relationship between objects of multiple sample systems in a domain correctly. Moreover, as the current domain feature modeling is doped with too many subjective factors of domain experts, there may be some error or missing feature constraint relationship. Combining with the macroscopic characteristics of domain object model, this paper improved the traditional object model, introduced new object relationship: use relationship, influence relationship, modification relationship, mutex relationship, represented feature by using object set. and complemented the definition of feature associated attribution. Some mapping rules are proposed for identifying the feature constraint relationship objectively and accurately, based on which the integrity and consistency of traditional feature dependency view is verified and the quality of feature model is improved.","PeriodicalId":373155,"journal":{"name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A feature dependency graph analysis method based on object\",\"authors\":\"Guanzhong Yang, Rong Zhou\",\"doi\":\"10.1109/FSKD.2016.7603413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional object model only focuses on single application system, cannot represent the relationship between objects of multiple sample systems in a domain correctly. Moreover, as the current domain feature modeling is doped with too many subjective factors of domain experts, there may be some error or missing feature constraint relationship. Combining with the macroscopic characteristics of domain object model, this paper improved the traditional object model, introduced new object relationship: use relationship, influence relationship, modification relationship, mutex relationship, represented feature by using object set. and complemented the definition of feature associated attribution. Some mapping rules are proposed for identifying the feature constraint relationship objectively and accurately, based on which the integrity and consistency of traditional feature dependency view is verified and the quality of feature model is improved.\",\"PeriodicalId\":373155,\"journal\":{\"name\":\"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2016.7603413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2016.7603413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A feature dependency graph analysis method based on object
The traditional object model only focuses on single application system, cannot represent the relationship between objects of multiple sample systems in a domain correctly. Moreover, as the current domain feature modeling is doped with too many subjective factors of domain experts, there may be some error or missing feature constraint relationship. Combining with the macroscopic characteristics of domain object model, this paper improved the traditional object model, introduced new object relationship: use relationship, influence relationship, modification relationship, mutex relationship, represented feature by using object set. and complemented the definition of feature associated attribution. Some mapping rules are proposed for identifying the feature constraint relationship objectively and accurately, based on which the integrity and consistency of traditional feature dependency view is verified and the quality of feature model is improved.