On Evaluating Multi-level Modeling

C. Atkinson, Thomas Kühne
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引用次数: 17

Abstract

Multi-Level Modeling is receiving increasing levels of interest and its active research community is continuing to make progress. However, to advance the discipline effectively it is necessary to increase industry adoption and achieve better community cohesion. We believe that the key to addressing both these challenges is to promote the creation of more comparisons in the multi-level modeling field based on meaningful objective evaluations. In this position paper, we provide our view on what constitutes meaningful evaluations and discuss some of the issues involved in obtaining them, while presenting a broad overview of existing multi-level modeling evaluations. In particular, we emphasize the importance of understanding and managing the difference between internal and external qualities.
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评价多层次建模
多层次建模受到越来越多的关注,其活跃的研究界正在不断取得进展。然而,为了有效地推进这一学科,有必要提高行业的采用率,并实现更好的社区凝聚力。我们认为,解决这两个挑战的关键是在有意义的客观评估的基础上促进多层次建模领域的更多比较。在这篇立场文件中,我们提供了我们对什么构成有意义的评估的观点,并讨论了获得这些评估所涉及的一些问题,同时对现有的多层次建模评估进行了广泛的概述。特别是,我们强调理解和管理内部和外部质量之间差异的重要性。
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Preface to the OpenMBEE International Workshop Preface to the 8th International Workshop on Multi-Level Modelling (MULTI 2021) Fifth International Workshop on Human Factors in Modeling / Modeling of Human Factors (HuFaMo'21) Preface of the 15th International Workshop on Models@run.time'21 LowCode 2021: 2nd Workshop on Modeling in Low-Code Development Platforms
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