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A tool that detects plagiarism in Pascal programs

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Sam GrierAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 13, Issue 1

Pages 15 - 20

https://doi.org/10.1145/953049.800954

Published: 01 February 1981 Publication History

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Abstract

Plagiarism has become a problem in introductory Computer Science courses. Programmed assignments can be copied and transformed with little human effort. A pertinent recommendation has resulted from this realization; an on-line system to detect programs that are “too similar” and hence suspected of plagiarism should be developed [4]. This paper discusses such a system for Pascal programs.

References

[1]

Bulut, N., "Invariant Properties of Algorithms," PHD Thesis, Purdue University (August 1973) 118-119.

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[2]

Halstead, M.H., "Elements of Software Science," Elsevier North Holland, New York (1977), Chapters 1-4,7.

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[3]

Ottenstein, K.J., "An Algorithmic Approach to the Detection and Prevention of Plagiarism," SIGCSE Bulletin, Dec 76, Vol.8, No.4.

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[4]

Shaw, M.; Jones, A; Knueven, P.; McDermott, J.; Miller, P.; Notkin, D., "Cheating Policy in a Computer Science Department," SIGCSE Bulletin, Jul 80, Vol. 12, No. 2.

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Idialu OMathews NMaipradit RAtlee JNagappan MSpinellis DConstantinou EBacchelli A(2024)Whodunit: Classifying Code as Human Authored or GPT-4 Generated - A case study on CodeChef problemsProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644926(394-406)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643991.3644926
Lee GKim JChoi MJang RLee R(2023)Review of Code Similarity and Plagiarism Detection Research StudiesApplied Sciences10.3390/app13201135813:20(11358)Online publication date: 16-Oct-2023
https://doi.org/10.3390/app132011358
Tian ZWang L(2023)Function Level Cross-Modal Code Similarity Detection with Jointly Trained Deep EncodersAdvances in Natural Computation, Fuzzy Systems and Knowledge Discovery10.1007/978-3-031-20738-9_8(61-68)Online publication date: 30-Jan-2023
https://doi.org/10.1007/978-3-031-20738-9_8
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A tool that detects plagiarism in Pascal programs

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A tool that detects plagiarism in Pascal programs
SIGCSE '81: Proceedings of the twelfth SIGCSE technical symposium on Computer science education

Plagiarism has become a problem in introductory Computer Science courses. Programmed assignments can be copied and transformed with little human effort. A pertinent recommendation has resulted from this realization; an on-line system to detect programs ...
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Plagiarism meets paraphrasing: Insights for the next generation in automatic plagiarism detection

Although paraphrasing is the linguistic mechanism underlying many plagiarism cases, little attention has been paid to its analysis in the framework of automatic plagiarism detection. Therefore, state-of-the-art plagiarism detectors find it difficult to ...

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Published In

ACM SIGCSE Bulletin Volume 13, Issue 1

Proceedings of the 12th SIGCSE symposium on Computer science education

February 1981

265 pages

ISSN:0097-8418

DOI:10.1145/953049

Issue’s Table of Contents

SIGCSE '81: Proceedings of the twelfth SIGCSE technical symposium on Computer science education
February 1981
270 pages
ISBN:0897910362
DOI:10.1145/800037
Chairmen:
Kenneth I. Magel,
Frank Garnett Walters,
Nell B. Dale

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 February 1981

Published in SIGCSE Volume 13, Issue 1

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Cited By

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Idialu OMathews NMaipradit RAtlee JNagappan MSpinellis DConstantinou EBacchelli A(2024)Whodunit: Classifying Code as Human Authored or GPT-4 Generated - A case study on CodeChef problemsProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644926(394-406)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643991.3644926
Lee GKim JChoi MJang RLee R(2023)Review of Code Similarity and Plagiarism Detection Research StudiesApplied Sciences10.3390/app13201135813:20(11358)Online publication date: 16-Oct-2023
https://doi.org/10.3390/app132011358
Tian ZWang L(2023)Function Level Cross-Modal Code Similarity Detection with Jointly Trained Deep EncodersAdvances in Natural Computation, Fuzzy Systems and Knowledge Discovery10.1007/978-3-031-20738-9_8(61-68)Online publication date: 30-Jan-2023
https://doi.org/10.1007/978-3-031-20738-9_8
Karnalim OSimon Chivers W(2022)Layered similarity detection for programming plagiarism and collusion on weekly assessmentsComputer Applications in Engineering Education10.1002/cae.2255330:6(1739-1752)Online publication date: 8-Jul-2022
https://doi.org/10.1002/cae.22553
Monroe ZBansal A(2021)Kitsune: Structurally Aware and Adaptable Plagiarism Detection2021 IEEE Frontiers in Education Conference (FIE)10.1109/FIE49875.2021.9637364(1-9)Online publication date: 13-Oct-2021
https://dl.acm.org/doi/10.1109/FIE49875.2021.9637364
Wu PWang JTian B(2018)Software Homology Detection With Software Motifs Based on Function-Call GraphIEEE Access10.1109/ACCESS.2018.28037386(19007-19017)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2803738
Yuan BWang JFang ZQi L(2018)A New Software Birthmark based on Weight Sequences of Dynamic Control Flow Graph for Plagiarism DetectionThe Computer Journal10.1093/comjnl/bxy05561:8(1202-1215)Online publication date: 1-Jun-2018
https://doi.org/10.1093/comjnl/bxy055
Ragkhitwetsagul CKrinke JClark D(2018)A comparison of code similarity analysersEmpirical Software Engineering10.1007/s10664-017-9564-723:4(2464-2519)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1007/s10664-017-9564-7
Sulistiani LKarnalim O(2018)ES‐Plag: Efficient and sensitive source code plagiarism detection tool for academic environmentComputer Applications in Engineering Education10.1002/cae.2206627:1(166-182)Online publication date: 20-Sep-2018
https://doi.org/10.1002/cae.22066
Pierce JZilles CCaspersen MEdwards SBarnes TGarcia D(2017)Investigating Student Plagiarism Patterns and Correlations to GradesProceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education10.1145/3017680.3017797(471-476)Online publication date: 8-Mar-2017
https://dl.acm.org/doi/10.1145/3017680.3017797
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