{"title":"Using i∗ model towards ontology integration and completeness checking in enterprise systems requirement hierarchy","authors":"Novarun Deb, N. Chaki, A. Ghose","doi":"10.1109/MoDRE.2015.7343871","DOIUrl":null,"url":null,"abstract":"i* is a goal oriented requirements engineering tool that can model varied requirements for solutions being developed by an enterprise. Different stakeholders within an enterprise may use partial or even completely non-intersecting vocabulary sets. This would lead to developing multiple i* models having independent ontologies. Collectively, these i* models define a requirements refinement hierarchy where different tiers of the hierarchy capture different levels of detail. In order to integrate such a distributed ontology, we require an appropriate mapping or correlate definitions between different ontologies at multiple levels. This paper tries to identify different types of bridging correlations that allow an integration of multi-ontological i* refinement hierarchies. We use these correlations to demonstrate how relative completeness can be established between adjacent tiers of the hierarchy. Varying degrees of relative completeness have also been identified and their fulfillment criteria have been summarized as theorems. A University Admissions System has been used as a case study to illustrate heuristics for achieving greater relative completeness.","PeriodicalId":262008,"journal":{"name":"2015 IEEE International Model-Driven Requirements Engineering Workshop (MoDRE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Model-Driven Requirements Engineering Workshop (MoDRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MoDRE.2015.7343871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
i* is a goal oriented requirements engineering tool that can model varied requirements for solutions being developed by an enterprise. Different stakeholders within an enterprise may use partial or even completely non-intersecting vocabulary sets. This would lead to developing multiple i* models having independent ontologies. Collectively, these i* models define a requirements refinement hierarchy where different tiers of the hierarchy capture different levels of detail. In order to integrate such a distributed ontology, we require an appropriate mapping or correlate definitions between different ontologies at multiple levels. This paper tries to identify different types of bridging correlations that allow an integration of multi-ontological i* refinement hierarchies. We use these correlations to demonstrate how relative completeness can be established between adjacent tiers of the hierarchy. Varying degrees of relative completeness have also been identified and their fulfillment criteria have been summarized as theorems. A University Admissions System has been used as a case study to illustrate heuristics for achieving greater relative completeness.
I *是一个面向目标的需求工程工具,可以为企业正在开发的解决方案的各种需求建模。企业中的不同涉众可能使用部分甚至完全不相交的词汇集。这将导致开发具有独立本体的多个i*模型。总的来说,这些i*模型定义了一个需求细化层次结构,其中层次结构的不同层捕获不同级别的细节。为了集成这样一个分布式本体,我们需要在多个层次上的不同本体之间进行适当的映射或关联定义。本文试图识别不同类型的桥接关联,这些桥接关联允许多本体i*细化层次结构的集成。我们使用这些相关性来演示如何在层次结构的相邻层之间建立相对完备性。还确定了不同程度的相对完备性,并将其实现标准总结为定理。大学招生系统已被用作一个案例研究,以说明实现更大的相对完整性的启发式。