• Corpus ID: 207969579

Towards Automated Grading of UML Class Diagrams with Machine Learning

@inproceedings{Stikkolorum2019TowardsAG,
  title={Towards Automated Grading of UML Class Diagrams with Machine Learning},
  author={Dave R. Stikkolorum and Peter van der Putten and Caroline Sperandio and Michel R. V. Chaudron},
  booktitle={BNAIC/BENELEARN},
  year={2019}
}
This paper describes an exploratory study on the application of machine learning for the grading of UML class diagrams. Bachelor student pairs performed a software design task for learning software design with the use of UML class diagrams. After experts had manually graded the diagrams, we trained a regression model and multiple classification models. Based on the results we conclude that prediction of a 10 point grading scale can’t be done reliably. Classifying with trained data using expert… 
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We present UMLGrader, a system designed to provide automated feedback to students on class diagrams written in the Unified Modeling Language (UML). Given a diagram which is constructed to model a
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  • Weiyi Bian, Omar Alam, J. Kienzle
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    2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
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