正在进行的工作:将文本软件工程类图练习转换为UML模型

Florian Huber, Georg Hagel
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引用次数: 2

摘要

在高等计算机科学教育中,类图练习是软件工程专业学生发展的重要组成部分。对于教育工作者来说,为这些课程生成带有示例解决方案的文本练习非常耗时,特别是在多门课程和不同的环境中。根据文献,从结构化文本自动生成图表是可能的。然而,学生经常收到的不是基于模板的练习文本,而是自然语言的描述,这仍然不是一个封闭的研究课题。为了解决这个问题,本文讨论了一个模型,该模型分析了用于软件工程教育的实际练习文本,考虑了每个单独的句子组成部分,并提供了一个类图。由于自然语言的复杂性,到目前为止,该模型并没有提供完美的结果,但在尝试为给定的练习文本生成样本解决方案方面,它是一项正在进行的伟大工作。
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Work-In-Progress: Converting textual software engineering class diagram exercises to UML models
Class diagram exercises are an important part in the development of software engineering students in higher computer science education. Generating textual exercises with sample solutions for such courses is time-consuming for educators, especially with multiple courses and different contexts. According to literature, the automatic generation of diagrams from structured text is possible. However, students often do not receive template based exercise texts but descriptions in natural language, which is still not a closed research topic. To address this problem, this paper discusses a model that analyses real exercise texts used for software engineering education, considers each individual sentences components and provides a class diagram. Due to the complexity of natural language, the model does not deliver perfect results so far, but is a great work in progress for the attempt to generate sample solutions for given exercise texts.
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