A development of an integrated programming class support system focusing on the similarity based on the content of source codes and author's coding style
| Project/Area Number |
24700918
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Educational technology
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| Research Institution | Osaka Sangyo University |
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Principal Investigator |
OHNO Asako 大阪産業大学, 工学部, 講師 (90550369)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 知的学習システム / 教育工学 / 授業支援システム / 盗用発見 / 類似性検出 / 採点支援 / 授業課題ソースコード / 特徴抽出 / ソースコード類似性検出 / 記述スタイル特徴 / ソースコード盗用発見 / 隠れマルコフモデル / 知的学習支援 / 記述スタイル / 記述スタイル教育 |
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| Outline of Final Research Achievements |
In this study, I improved the two source code similarity measuring methods that I had proposed in my former study, that were, "A similarity measuring method using reference vector (FRef)" and "A similarity measuring method based on author’s coding style (CM Algorithm)". I implemented the two methods to a programming class support system to achieve auto-scoring, plagiarism detection, and coding style evaluation functions. From the results of the evaluation experiments using a set of source codes produced by students in real-world programming class as test data, I confirmed high performance for plagiarism detection and coding style evaluation function while scoring function needed more improvement to be used in practice.
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Report
(4 results)
Research Products
(8 results)
