{"title":"Evaluating Conceptual Coherence in Multi-Modeling Techniques","authors":"Bart-Jan Hommes","doi":"10.4018/978-1-59140-375-3.CH003","DOIUrl":null,"url":null,"abstract":"Meta-modeling is a well-known approach for capturing modeling methods and techniques. A meta-model can serve as a basis for quantitative evaluation of methods and techniques. By means of a number of formal metrics based on the meta-model, a quantitative evaluation of methods and techniques becomes possible. Existing meta-modeling languages and measurement schemes do not allow the explicit modeling of so-called multimodeling techniques. Multi-modeling techniques are techniques that offer a coherent set of aspect modeling techniques to model different aspects of a certain phenomenon. As a consequence, existing approaches lack metrics to quantitatively assess aspects that are particular to multi-modeling techniques. In this chapter, a modeling language for modeling multimodeling techniques is proposed as well as metrics for evaluating the coherent set of aspect modeling techniques that constitute the multimodeling technique. This chapter appears in the book, Information Modeling Methods and M thod logies, edited by John Krogstie, Terry Halpin and Keng Siau. Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033-1240, USA Tel: 717/533-8845; Fax 717/533-8661; URL-http://www.idea-group.com IDEA GROUP PUBLISHING","PeriodicalId":198105,"journal":{"name":"Information Modeling Methods and Methodologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Modeling Methods and Methodologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-59140-375-3.CH003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
评价多模型技术中的概念一致性
元建模是一种众所周知的捕获建模方法和技术的方法。元模型可以作为定量评价方法和技术的基础。通过基于元模型的一些形式化度量,可以对方法和技术进行定量评估。现有的元建模语言和度量方案不允许对所谓的多建模技术进行显式建模。多建模技术是提供一组一致的方面建模技术来对某一现象的不同方面进行建模的技术。因此,现有的方法缺乏对多建模技术特有的方面进行定量评估的度量。在本章中,提出了一种多建模技术建模语言,以及评估构成多建模技术的相关方面建模技术集的度量。本章出现在John Krogstie、Terry Halpin和Keng Siau编辑的《信息建模方法和M方法逻辑》一书中。Idea Group Inc.版权所有©2005未经Idea Group Inc.书面许可,禁止以印刷或电子形式复制或分发。美国宾夕法尼亚州好时市巧克力大道701号200室,电话:717/533-8845;传真717/533 - 8661;URL-http://www.idea-group.com想法组出版
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