Requirements for modelling tools for teaching

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Jörg Kienzle, Steffen Zschaler, William Barnett, Timur Sağlam, Antonio Bucchiarone, Silvia Abrahão, Eugene Syriani, Dimitris Kolovos, Timothy Lethbridge, Sadaf Mustafiz, Sofia Meacham
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引用次数: 0

Abstract

Modelling is an important activity in software development and it is essential that students learn the relevant skills. Modelling relies on dedicated tools and these can be complex to install, configure, and use—distracting students from learning key modelling concepts and creating accidental complexity for teachers. To address these challenges, we believe that modelling tools specifically aimed at use in teaching are required. Based on discussions at a working session organised at MODELS 2023 and the results from an internationally shared questionnaire, we report on requirements for such modelling tools for teaching. We also present examples of existing modelling tools for teaching and how they address some of the requirements identified.

Abstract Image

对教学建模工具的要求
建模是软件开发中的一项重要活动,学生必须学习相关技能。建模依赖于专用工具,而这些工具的安装、配置和使用可能非常复杂,这会分散学生学习关键建模概念的注意力,并给教师带来意外的复杂性。为了应对这些挑战,我们认为需要专门用于教学的建模工具。基于在 MODELS 2023 上组织的工作会议的讨论和国际共享问卷调查的结果,我们报告了对此类教学建模工具的要求。我们还介绍了现有教学建模工具的实例,以及这些工具如何满足所确定的某些要求。
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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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