BPMDS'2021 业务流程改进专栏

IF 2 3区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Software and Systems Modeling Pub Date : 2023-12-18 DOI:10.1007/s10270-023-01139-9

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引用次数: 0

摘要

摘要业务流程建模、开发和支持（BPMDS）工作会议系列与 CAiSE 会议同期举行，是业务流程建模、开发和支持领域研究人员和从业人员的聚会场所。BPMDS 系列所涉及的业务流程分析、设计和支持已被公认为信息系统 (IS) 工程的核心问题。2011 年，BPMDS 成为与 CAiSE（高级信息系统工程会议）同期举行的为期两天的工作会议。有关 BPMDS 的目标、形式和历史，请访问网站 http://www.bpmds.org/。

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Special section of BPMDS’2021 business process improvement

Abstract

The Business Process Modeling, Development and Support (BPMDS) working conference series, held in conjunction with CAiSE conferences, serve as a meeting place for researchers and practitioners in Business Process Modeling, Development, and Support. Business process analysis, design, and support, addressed by the BPMDS series, have been recognized as a central issue in information systems (IS) engineering. In 2011, BPMDS became a two-day working conference held in conjunction with CAiSE (Conference on Advanced Information Systems Engineering). The goals, format, and history of BPMDS can be found on the website http://www.bpmds.org/.

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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