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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5571

Title: Automatic assessment of sequence diagrams
Authors: Thomas, Pete
Smith, Neil
Waugh, Kevin
Issue Date: 2008
Publisher: © Loughborough University
Citation: THOMAS, P., SMITH, N. and WAUGH, K., 2008. Automatic assessment of sequence diagrams. IN: Khandia, F. (ed.). 12th CAA International Computer Assisted Assessment Conference : Proceedings of the Conference on 8th and 9th July 2008 at Loughborough University. Loughborough : Loughborough University, pp. 319-332
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.
Description: This is a conference paper
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/5571
ISBN: 0953957276
Appears in Collections:CAA Conference

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