为 PoEM'2022 特别版块撰写特邀社论

IF 2 3区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Software and Systems Modeling Pub Date : 2024-07-03 DOI:10.1007/s10270-024-01189-7

Balbir S. Barn, Kurt Sandkuhl, Souvik Barat, Tony Clark

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引用次数: 0

摘要

这篇特邀编辑介绍了为第 15 届 IFIP WG 8.1 企业建模实践工作会议（PoEM 2022）撰写的论文。最佳论文被选中邀请进行修改和重要扩展。最终有五篇论文被特别版块录用。总体而言，这些论文很好地反映了企业建模在研究和实践方面的最新进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Guest editorial to the special section on PoEM’2022

This guest editorial presents the papers contributing to the 15th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2022). The best papers were selected for invitation for revision and significant expansion. Five papers were finally accepted in the special section. Collectively, these papers provide an excellent representation of the state of the art of Enterprise Modelling in both research and practice.

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来源期刊

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