A Study on Improvement of Scoring in Programming Practice Questions Using Concolic Testing Technique

Kangbok Seo, Sunghee Lee, Deokyeop Kim, Woojin Lee

http://doi.org/10.5626/JOK.2019.46.11.1133

Recently, as programming education has attracted increasing interest, studies on effective programming education have been actively investigated. Various automatic scoring systems have been developed and are currently used in programming education, but in these systems, there are some contents that the instructor must write, such as test cases for scoring. The test cases used for scoring should not simply use the correct input, but should also be written in consideration of the various parts that students might add to the source code. If the instructor writes such a test case, the author"s mistake may lead to insufficient test cases or incorrect test cases, ultimately resulting in incorrect scoring. In order to solve these problems, this paper proposed a tool to improve the test cases used in existing scoring by applying the concolic testing technique to the source code submitted by the students. In addition, using the proposed tool, we found a case in which the scoring was incorrect, so we added an improved test case to perform the scoring again.