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Automatic assessment aids for Pascal programs

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Michael J. ReesAuthors Info & Claims

ACM SIGPLAN Notices, Volume 17, Issue 10

Pages 33 - 42

https://doi.org/10.1145/948086.948088

Published: 01 October 1982 Publication History

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Abstract

Practical programming courses in the Pascal Language inevitably include the need to assess programs submitted by the students. Part of this assessment usually involves awarding marks for the style of the program listing. The philosophy behind a program designed to asses the style of Pascal programs and award marks automatically is presented. The results obtained on actual student courses are discussed, and some extensions which could lead to further assessment aids are suggested.

References

[1]

D. Marca, 'Some PASCAL Style Guidelines', SIGPLAN, Vol.16, No.4, 1981.

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[2]

A. H. J. Sale, 'Miniscules and Majuscules', Software: Practice and Experience, Vol.9, No.11, 1979.

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[3]

J. M. Bishop 'On Publication Pascal', Software: Practice and Experience, Vol.9, No.9, 1979.

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Saliba LShioji EOliveira ECohney SQi JStephenson BStone JBattestilli LRebelsky SShoop L(2024)Learning with Style: Improving Student Code-Style Through Better Automated FeedbackProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630889(1175-1181)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630889
Nascimento MAraújo ESerey DFigueiredo J(2020)The Role of Source Code Vocabulary in Programming Teaching and Learning2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274137(1-8)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1109/FIE44824.2020.9274137
Karnalim OSimon Chivers W(2019)Similarity Detection Techniques for Academic Source Code Plagiarism and Collusion: A Review2019 IEEE International Conference on Engineering, Technology and Education (TALE)10.1109/TALE48000.2019.9225953(1-8)Online publication date: Dec-2019
https://doi.org/10.1109/TALE48000.2019.9225953
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Published In

ACM SIGPLAN Notices Volume 17, Issue 10

October 1982

45 pages

ISSN:0362-1340

EISSN:1558-1160

DOI:10.1145/948086

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 1982

Published in SIGPLAN Volume 17, Issue 10

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Saliba LShioji EOliveira ECohney SQi JStephenson BStone JBattestilli LRebelsky SShoop L(2024)Learning with Style: Improving Student Code-Style Through Better Automated FeedbackProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630889(1175-1181)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630889
Nascimento MAraújo ESerey DFigueiredo J(2020)The Role of Source Code Vocabulary in Programming Teaching and Learning2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274137(1-8)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1109/FIE44824.2020.9274137
Karnalim OSimon Chivers W(2019)Similarity Detection Techniques for Academic Source Code Plagiarism and Collusion: A Review2019 IEEE International Conference on Engineering, Technology and Education (TALE)10.1109/TALE48000.2019.9225953(1-8)Online publication date: Dec-2019
https://doi.org/10.1109/TALE48000.2019.9225953
Zou WXuan JXie XChen ZXu B(2019)How does code style inconsistency affect pull request integration? An exploratory study on 117 GitHub projectsEmpirical Software Engineering10.1007/s10664-019-09720-x24:6(3871-3903)Online publication date: 3-Jun-2019
https://doi.org/10.1007/s10664-019-09720-x
Gonçalves de Oliveira MOliveira Silva Neves ÁFerreira Silva Lopes M(2018)Automatic Mapping of Student 3D Profiles in Software Metrics for Temporal Analysis of Programming Learning and Scoring RubricsEnhanced Expert Systems [Working Title]10.5772/intechopen.81754Online publication date: 30-Nov-2018
https://doi.org/10.5772/intechopen.81754
Mi QKeung JYu Y(2016)Measuring the Stylistic Inconsistency in Software Projects using Hierarchical Agglomerative ClusteringProceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering10.1145/2972958.2972963(1-10)Online publication date: 9-Sep-2016
https://dl.acm.org/doi/10.1145/2972958.2972963
Benander ABenander B(2014)Teaching Good Programming Style to COBOL StudentsJournal of Research on Computing in Education10.1080/08886504.1988.1078187021:2(174-180)Online publication date: 25-Feb-2014
https://doi.org/10.1080/08886504.1988.10781870
Romli RSulaiman SZamli K(2010)Automatic programming assessment and test data generation a review on its approaches2010 International Symposium on Information Technology10.1109/ITSIM.2010.5561488(1186-1192)Online publication date: Jun-2010
https://doi.org/10.1109/ITSIM.2010.5561488
Skupas BDagiene VMalmi LPears A(2008)Is automatic evaluation useful for the maturity programming exam?Proceedings of the 8th International Conference on Computing Education Research10.1145/1595356.1595382(117-118)Online publication date: 13-Nov-2008
https://dl.acm.org/doi/10.1145/1595356.1595382
Taherkhani AMalmi LKorhonen AMalmi LPears A(2008)Algorithm recognition by static analysis and its application in students' submissions assessmentProceedings of the 8th International Conference on Computing Education Research10.1145/1595356.1595372(88-91)Online publication date: 13-Nov-2008
https://dl.acm.org/doi/10.1145/1595356.1595372
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Automatic vs manual assessment of programming tasks

Evaluation of five risk assessment programs

An assessment of the programming language pascal

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