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Do Ontological Guidelines Improve Understandability of Conceptual Models? A Meta-analysis of Empirical Work

机译：本体准则是否提高了概念模型的可理解性？实证工作的荟萃分析

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摘要

Conceptual models are used to understand information systems application domains and to communicate about them in order to better understand system requirements. Conceptual models are required to represent relevant aspects of the modeled domain faithfully, and be understandable. The use of ontological theories has been proposed to guide the creation of effective models. Specifically, Bunge's ontology has been applied to guide the use of the ERM, the UML, and business process grammars. However, because the choice of ontology reflects beliefs, and model understanding involves human cognition, whether or not ontological guidance results in better models is an empirical question. Several empirical works studied this issue, differing in grammars, modeling aspects, empirical tasks, and measures. We report a meta-analysis of published empirical research about the impact of ontological guidance based on Bunge's model, and user understanding of conceptual models. The results support the proposition that ontological guidance can improve model understandability.
机译：概念模型用于理解信息系统应用程序域并进行有关它们的通信，以便更好地理解系统需求。需要概念模型来忠实地表示建模域的相关方面，并且必须易于理解。已经提出使用本体论理论来指导有效模型的创建。特别是，Bunge的本体已被用来指导ERM，UML和业务流程语法的使用。但是，由于本体论的选择反映了信念，并且模型理解涉及人类的认知，因此本体论指导是否会产生更好的模型是一个经验性的问题。有几项实证研究了这个问题，它们在语法，建模方面，实证任务和测量方法上都不尽相同。我们对基于Bunge模型的本体指导的影响以及用户对概念模型的理解的已发表的实证研究进行了荟萃分析。结果支持以下论点：本体论指导可以提高模型的可理解性。

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