{"title":"Descriptive Logic for Software Engineering Ontology: Aspect Software Quality Control","authors":"Kamal Uddin Sarker, A. Deraman, R. Hasan","doi":"10.1109/ICCOINS.2018.8510585","DOIUrl":null,"url":null,"abstract":"Ontology in software engineering has been using for a long time in different ways, and it is an abstract level with domain oriented definition; also using individual tools for each domain or individual for each application. From the beginning of the software engineering, Software Quality Control (SQC) working to ensure the quality product within time and budget but the statistical report showing till now partial or total failure project existed. Facts are identified here by critical analysis of the public data set. Ontology is defined here based on software engineering after detail analysis of existing definition and application area. Most common and confusing term \"size of the project\" is elaborated based on the analysis of EBSPM-software depository data set. Finally, general hybrid ontology is developed by descriptive logic for the software management based on standardization factors to ensure quality.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"50 23","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCOINS.2018.8510585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Ontology in software engineering has been using for a long time in different ways, and it is an abstract level with domain oriented definition; also using individual tools for each domain or individual for each application. From the beginning of the software engineering, Software Quality Control (SQC) working to ensure the quality product within time and budget but the statistical report showing till now partial or total failure project existed. Facts are identified here by critical analysis of the public data set. Ontology is defined here based on software engineering after detail analysis of existing definition and application area. Most common and confusing term "size of the project" is elaborated based on the analysis of EBSPM-software depository data set. Finally, general hybrid ontology is developed by descriptive logic for the software management based on standardization factors to ensure quality.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
