从企业模式到低代码应用程序:将 DEMO 映射到 Mendix;在社会住房领域进行说明

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Marien R. Krouwel, Martin Op ’t Land, Henderik A. Proper
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引用次数: 0

摘要

由于过度竞争、技术进步、监管变化等原因,企业需要发展的条件变得越来越动荡。因此,企业敏捷性日益决定着企业的成功机会。由于软件开发往往是实现企业敏捷性的限制因素,因此企业敏捷性和软件适应性越来越紧密地交织在一起。因此,有关灵活性的决策不应仅由软件开发人员做出。通过采用模型驱动软件开发(MDSD)方法,从 DEMO 本体论企业模型和明确的(企业)实施设计决策出发,本研究旨在弥合企业敏捷性与软件适应性之间的差距,从而使软件开发不再成为实现企业敏捷性的限制因素。低代码技术是一种日益增长的市场趋势,它以 MDSD 概念为基础,声称能提供高度的软件适应性。因此,作为展示使用 DEMO 本体论企业模型作为 MDSD 基础的潜在好处的第一步,本研究展示了从 DEMO 模型到 Mendix 的映射设计,以便(自动)创建低代码应用程序,该应用程序还能从本质上适应运行时的实施设计决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

From enterprise models to low-code applications: mapping DEMO to Mendix; illustrated in the social housing domain

From enterprise models to low-code applications: mapping DEMO to Mendix; illustrated in the social housing domain

Due to hyper-competition, technological advancements, regulatory changes, etc, the conditions under which enterprises need to thrive become increasingly turbulent. Consequently, enterprise agility increasingly determines an enterprise’s chances for success. As software development often is a limiting factor in achieving enterprise agility, enterprise agility and software adaptability become increasingly intertwined. As a consequence, decisions that regard flexibility should not be left to software developers alone. By taking a Model-driven Software Development (MDSD) approach, starting from DEMO ontological enterprise models and explicit (enterprise) implementation design decisions, the aim of this research is to bridge the gap from enterprise agility to software adaptability, in such a way that software development is no longer a limiting factor in achieving enterprise agility. Low-code technology is a growing market trend that builds on MDSD concepts and claims to offer a high degree of software adaptability. Therefore, as a first step to show the potential benefits to use DEMO ontological enterprise models as a base for MDSD, this research shows the design of a mapping from DEMO models to Mendix for the (automated) creation of a low-code application that also intrinsically accommodates run-time implementation design decisions.

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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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