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P2 Mistakes in UML Diagrams: Analysis of Student Projects in a Software Engineering Course

UML 图中的错误:软件工程课程学生项目分析
ICSE 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)2019匹配度 1/10 · 该论文关注软件工程课程中UML图错误的目录构建与教学分析,属于建模教育和实证研究,与用户研究画像中的静态分析、LLM/Agent、浮点程序分析及贝叶斯程序分析等核心方向几乎没有交集。引用 34 inbox
Stanislav Chren, Barbora Buhnova, Martin Macak, Lukas Daubner, Bruno Rossi
crossref: 2026-09-12dblp: 2026-09-12

AI 速览

一句话:本文构建 UML 图错误目录,并据此分析软件工程课程中 123 名学生的 2700 余个图,揭示常见错误与演化规律。

UML 作为软件系统建模与可视化记法被广泛采用,但学生在学习其复杂性时常遇到困难并重复犯错,影响教学与建模质量。本文首先提出包含八类图中 146 种错误类型的错误目录,并以此为主要工具,对一门软件工程课程中 123 名学生在 12 周内提交的 2700 多个 UML 图进行分析。分析内容包括各类错误出现频率、不同图类型间错误的相关性、学生项目质量与考试成绩的相关性,以及学生随时间引入和修复错误的行为,并给出其他观察。研究同时公开数据集和详细目录指南,为 UML 教学、学习与后续错误模式研究提供基础。

问题
UML 学习难度高,学生常重复犯错,缺乏系统化的错误目录来指导教学、学习和项目分析。
方法
构建含 8 类图、146 种错误的目录,并用其分析 123 名学生一学期 12 周提交的 2700 多个 UML 图,统计错误频率、跨图相关性、与考试成绩关系及时间演化。
评估
基于课程学生项目数据进行实证分析,并公开数据集与详细指南以支持复现与后续研究。
原文摘要(Abstract)

The Unified Modelling Language (UML) is being widely accepted as a modelling notation for visualizing software systems during design and development. UML has thus become part of many software engineering course curricula at universities worldwide, providing a recognized tool for practical training of students in understanding and visualizing software design. It is however common that students have difficulties in absorbing UML in its complexity, and often repeat the same mistakes that have been observed by course tutors in previous years. Having a catalogue of such mistakes could hence increase the effectiveness of both teaching and learning of UML diagrams. In this paper, we introduce such a catalogue, consisting of 146 types of mistakes in eight types of diagrams. As the main contribution of this study, we use this catalogue to guide the analysis of student projects within a software engineering course. In total, over 2,700 diagrams submitted over 12 weeks of a semester by 123 students were analysed to identify the frequency of mistakes (from the catalogue), correlations of the mistakes between different diagram types, correlation of the quality of student projects to exam results, student behaviour in terms of introducing and fixing the mistakes over time, and other interesting insights. The analysis is described together with its setup and execution, and all datasets and detailed guidebook to the catalogue of all mistakes is made available for download.

链接与引用

DOI 原文 · DBLP

BibTeX
@inproceedings{ChrenBMD019,
  title = {Mistakes in UML Diagrams: Analysis of Student Projects in a Software Engineering Course},
  author = {Stanislav Chren and Barbora Buhnova and Martin Macak and Lukas Daubner and Bruno Rossi},
  booktitle = {ICSE},
  year = {2019},
  doi = {10.1109/icse-seet.2019.00019}
}