业务流程数据流的低代码解决方案:从建模到执行

IF 3.4 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ali Nour Eldin , Jonathan Baudot , Benjamin Dalmas , Walid Gaaloul
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引用次数: 0

摘要

业务流程建模和符号(BPMN)是一种被广泛采用的业务工作流建模标准。然而,业务流程中不断增加的复杂性和数据集成要求一种能够清晰地表达流程和数据透视图的建模语言。虽然BPMN有效地表示流程控制流,但它不能充分解决关键的数据相关方面,如数据流、数据依赖关系和数据转换。此外,开发人员和业务分析人员之间经常出现沟通缺口和对流程需求的不同解释,从而导致流程实现和执行中的错误和延迟。为了解决这些限制,本文介绍了BPMN的扩展,称为业务流程和数据建模语言(BPDML)。BPDML是一种低代码建模语言,专门用于捕获、建模和执行数据驱动的业务流程。通过采用低代码方法,BPDML弥合了业务分析人员和开发人员之间的鸿沟,通过减少工作量和最少的手工编码,促进了业务应用程序的更快开发和交付。此外,还开发了专门的建模工具来支持使用BPDML创建、验证和执行模型。定量和定性评估都表明,与传统的BPMN相比,BPDML显著提高了业务流程建模和实现的清晰度、效率和总体有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-code solutions for business process dataflows: From modeling to execution
Business Process Modeling and Notation (BPMN) is a widely adopted standard for modeling business workflows. However, the increasing complexity and integration of data within business processes demand a modeling language capable of clearly expressing both process and data perspectives. While BPMN effectively represents process control flows, it inadequately addresses critical data-related aspects such as data flow, data dependencies, and data transformations. Moreover, communication gaps and differing interpretations of process requirements frequently arise between developers and business analysts, leading to errors and delays in process implementation and execution.
To address these limitations, this paper introduces an extension of BPMN, termed the Business Process and Data Modeling Language (BPDML). BPDML is a low-code modeling language specifically designed to capture, model, and execute data-driven business processes. By adopting a low-code approach, BPDML bridges the gap between business analysts and developers, facilitating faster development and delivery of business applications with reduced effort and minimal manual coding. In addition, a specialized modeling tool has been developed to support the creation, validation, and execution of models using BPDML. Both quantitative and qualitative evaluations demonstrate that BPDML significantly enhances the clarity, efficiency, and overall effectiveness of business process modeling and implementation compared to traditional BPMN.
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来源期刊
Information Systems
Information Systems 工程技术-计算机:信息系统
CiteScore
9.40
自引率
2.70%
发文量
112
审稿时长
53 days
期刊介绍: Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application.
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