{"title":"Customizable rule-based verification of requirements ontology","authors":"Dang Viet Dzung, A. Ohnishi","doi":"10.1109/AIRE.2014.6894852","DOIUrl":null,"url":null,"abstract":"In using ontology to support requirements engineering, quality of elicited requirements depends on quality of requirements ontology, so a rule-based verification method of the correctness of requirements ontology has been proposed. However, in recent evaluation experiments, users of the method (ontology verifiers) described only a few new rules based on rule grammars and rule examples. That led to the number of correctly detected errors were not so high (less than 50% of the total number of errors). To improve our method, in this paper, we propose a rules customization mechanism in which simple specific rules are generated using pre-defined and customizable meta-rules. We expect that by using the improvement, ontology verifiers can easily and effectively generate and customize rules for verification of requirements ontology. The customization mechanism is illustrated through examples and a case study.","PeriodicalId":300818,"journal":{"name":"2014 IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIRE.2014.6894852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In using ontology to support requirements engineering, quality of elicited requirements depends on quality of requirements ontology, so a rule-based verification method of the correctness of requirements ontology has been proposed. However, in recent evaluation experiments, users of the method (ontology verifiers) described only a few new rules based on rule grammars and rule examples. That led to the number of correctly detected errors were not so high (less than 50% of the total number of errors). To improve our method, in this paper, we propose a rules customization mechanism in which simple specific rules are generated using pre-defined and customizable meta-rules. We expect that by using the improvement, ontology verifiers can easily and effectively generate and customize rules for verification of requirements ontology. The customization mechanism is illustrated through examples and a case study.