Universal conceptual modeling: principles, benefits, and an agenda for conceptual modeling research

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Roman Lukyanenko, Binny M. Samuel, Jeffrey Parsons, Veda C. Storey, Oscar Pastor, Araz Jabbari
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引用次数: 0

Abstract

The paper proposes universal conceptual modeling, conceptual modeling that strives to be as general-purpose as possible and accessible to anyone, professionals and non-experts alike. The idea of universal conceptual modeling is meant to catalyze new thinking in conceptual modeling and be used to evaluate and develop conceptual modeling solutions, such as modeling languages, approaches for requirements elicitation, or modeling tools. These modeling solutions should be usable by as many people and design agents as possible and for as many purposes as possible, aspiring to the ideals of universal conceptual modeling. We propose foundations of universal conceptual modeling in the form of six principles: flexibility, accessibility, ubiquity, minimalism, primitivism, and modularity. We then demonstrate the utility of these principles to evaluate existing conceptual modeling languages and understand conceptual modeling practices. Finally, we propose future research opportunities meant to realize the ideals of universal conceptual modeling.

Abstract Image

通用概念建模:原则、益处和概念建模研究议程
本文提出了通用概念建模(universal conceptual modeling),即尽可能通用的概念建模,任何人,包括专业人员和非专业人员都可以使用。通用概念建模的理念旨在促进概念建模的新思维,并用于评估和开发概念建模解决方案,如建模语言、需求激发方法或建模工具。这些建模解决方案应能被尽可能多的人和设计代理使用,并能用于尽可能多的目的,从而实现通用概念建模的理想。我们以六项原则的形式提出了通用概念建模的基础:灵活性、可访问性、通用性、最小化、原始主义和模块化。然后,我们展示了这些原则在评估现有概念建模语言和理解概念建模实践方面的实用性。最后,我们提出了旨在实现通用概念建模理想的未来研究机会。
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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
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