Semantic similarity-based grading of student programs

Authors:
Tiantian Wang;Xiaohong Su;Yuying Wang;Peijun Ma
Affiliations:
Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China;Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China;Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China;Department of Computer Science, Harbin Institute of Technology, Harbin 150001, China
Venue:
Information and Software Technology
Year:
2007

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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.