探索UML自动评估的综合方法

Hayden Cheers, Muhummad Javed, Yuqing Lin, Shamus P. Smith
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摘要

UML是结构化软件设计中的一个重要工具,通常在本科软件课程中教授。UML定义了一组复杂的关联符号,掌握它需要在许多讲授的课程中进行指导和举例。这样的例子通常是不同的,不同系统的建模子集。教授UML受益于端到端的方法,在这种方法中,建模、设计和实现之间的一致性同样得到强调,并提供定期反馈。这样做的一个缺点是,如果需要形成性和总结性评估,评估学习者派生的UML模型是一项耗时且容易出错的任务。本文提出了一种新的UML自动评估框架。该框架允许为学习者提供自动生成的形成性反馈,用于UML技能开发中的自我指导学习。重点放在识别学习者图的一致性和覆盖范围上,因为这是UML应用中的一项重要技能。通过集成这个框架的实现,基于讲师的UML教学可以被一个端到端的工具所补充,这个工具允许学习者在他们对UML的理解和使用中接收自动的形成性反馈。
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Exploring a Comprehensive Approach for the Automated Assessment of UML
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.
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