RBPMN: the value of roles for business process modeling

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Tarek Skouti, Ronny Seiger, Frank J. Furrer, Susanne Strahringer
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Abstract

Business process modeling is essential for organizations to comprehend, analyze, and enhance their business operations. The business process model and notation (BPMN) is a standard widely adopted for illustrating business processes. However, it falls short when modeling roles, interactions, and responsibilities within complex modern processes that involve digital, human, and non-human entities, typically found in cyber-physical systems (CPS). In this paper, we introduce Role-based BPMN (RBPMN), a standard-compliant extension of BPMN 2.0 that distinctly depicts roles and their interactions within business processes. We underscore the value of RBPMN and a role-based context modeling approach through a modeling example in CPS that facilitates the representation of role-based variations in the process flow, namely a production process in a smart factory. Our findings suggest that RBPMN is a valuable BPMN extension that enhances the expressiveness, variability, and comprehensiveness of business process models, especially in complex and context-sensitive processes.

Abstract Image

RBPMN:角色对业务流程建模的价值
业务流程建模对于企业理解、分析和提升业务运营至关重要。业务流程模型和符号(BPMN)是广泛采用的业务流程说明标准。然而,在对涉及数字、人类和非人类实体的复杂现代流程中的角色、交互和责任进行建模时,它却显得力不从心。在本文中,我们将介绍基于角色的 BPMN(RBPMN),它是 BPMN 2.0 的一个符合标准的扩展,可以清晰地描述业务流程中的角色及其交互。我们通过 CPS 中的一个建模示例来强调 RBPMN 和基于角色的上下文建模方法的价值,该示例有助于表示流程(即智能工厂中的生产流程)中基于角色的变化。我们的研究结果表明,RBPMN 是一种有价值的 BPMN 扩展,它能增强业务流程模型的表达能力、可变性和全面性,尤其是在复杂和对上下文敏感的流程中。
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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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