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Information and Software Technology
Volume 49, Issue 2, February 2007, Pages 99-107
 
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doi:10.1016/j.infsof.2006.03.001    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier B.V. All rights reserved.

Semantic similarity-based grading of student programs

Tiantian WangCorresponding Author Contact Information, a, E-mail The Corresponding Author, Xiaohong Sua, Yuying Wanga and Peijun Maa

aDepartment of Computer Science, Harbin Institute of Technology, Harbin 150001, China

Received 31 December 2005; 
revised 4 March 2006; 
accepted 13 March 2006. 
Available online 27 April 2006.

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Abstract

An automatic grading approach is presented based on program semantic similarity. Automatic grading of a student program is achieved by calculating semantic similarities between the student program and each correct model program after they are standardized. This approach was implemented in an on-line examination system for the programming language C. Different form other existing approaches, it can evaluate how close a student’s source code is to a correct solution and give a matching accuracy.

Keywords: Automatic grading; Semantic similarity; System dependence graph (SDG); Program standardization; Program matching

Article Outline

1. Introduction
2. An overview of semantic similarity-based grading
2.1. Rules of semantic similarity-based grading
2.2. Model of semantic similarity-based grading
3. Program representation
4. Program standardization
4.1. Expression standardization
4.2. Control structure standardization
4.3. Function invocation standardization
4.4. Remove redundant statements
4.5. Rename variables
4.6. Reorder statements
4.7. Example
5. Program matching and grading
6. Experiments and discussions
7. Conclusions
Acknowledgements
References








 
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