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Exploring a Comprehensive Approach for the Automated Assessment of UML

机译:探索UML自动评估的综合方法

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UML is an important tool in structured software design and is commonly taught in undergraduate software courses. UML defines a complex set of linked notations and mastery requires instruction and examples over many taught courses. Such examples are typically disparate, modelling subsets of distinct systems. Teaching UML benefits from an end-to-end approach where consistency between modelling, design and implementation are equally emphasised and regular feedback is provided. A drawback of this is that assessing learner-derived UML models is a time-intensive and error-prone task if both formative and summative assessment is required. In this paper a novel framework is presented for the automated assessment of UML. The framework allows learners to be provided with automatically generated formative feedback for self-directed learning in the development of UML skills. Emphasis is placed upon the identification of the consistency and coverage of learner diagrams as this is an important skill in the application of UML. By integrating an implementation of this framework, instructor-based UML teaching can be supplemented with an end-to-end tool which allows learners to receive automated formative feedback in their understanding and usage of UML.
机译:UML是结构化软件设计中的重要工具,通常在大学软件课程中教授。 UML定义了一组复杂的链接符号,而精通这些知识则需要许多教学课程的指导和示例。这样的例子通常是不同系统的不同模型的子集。 UML教学得益于端到端方法,该方法同时强调了建模,设计和实现之间的一致性,并提供了定期的反馈。这样做的缺点是,如果需要形成性评估和总结性评估,则评估学习者派生的UML模型是一项耗时且容易出错的任务。在本文中,提出了一种用于UML自动化评估的新颖框架。该框架允许在UML技能开发中为学习者提供自动生成的形成性反馈,以进行自主学习。重点放在确定学习者图的一致性和覆盖范围上,因为这是UML应用程序中的一项重要技能。通过集成此框架的实现,可以使用端到端工具对基于讲师的UML教学进行补充,该工具允许学习者在理解和使用UML时收到自动形成的反馈。

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