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Automatic assessment of sequence diagrams

Thomas, Pete; Smith, Neil and Waugh, Kevin (2008). Automatic assessment of sequence diagrams. In: 12th International CAA Conference: Research into e-Assessment, 8-9 July 2008, Loughborough University, UK.

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Abstract

In previous work we showed how student-produced entity-relationship diagrams (ERDs) could be automatically marked with good accuracy when compared with human markers. In this paper we report how effective the same techniques are when applied to syntactically similar UML sequence diagrams and discuss some issues that arise which did not occur with ERDs. We have found that, on a corpus of 100 student-drawn sequence diagrams, the automatic marking technique is more reliable that human markers. In addition, an analysis of this corpus revealed significant syntax errors in student-drawn sequence diagrams. We used the information obtained from the analysis to build a tool that not only detects syntax errors but also provides feedback in diagrammatic form. The tool has been extended to incorporate the automatic marker to provide a revision tool for learning how to model with sequence diagrams.

Item Type: Conference Item
Copyright Holders: 2008 The Authors
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 19230
Depositing User: Kevin Waugh
Date Deposited: 16 Dec 2009 10:49
Last Modified: 24 Feb 2016 06:24
URI: http://oro.open.ac.uk/id/eprint/19230
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