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Code reading exercises using run time traces

Published: 21 June 2014 Publication History

Abstract

Programming requires both to write code and to read code. In debugging tasks, students can use supporting tools that create additional artefacts like visualizations or traces, but these again need to be read and understood. This contribution presents a concept of code reading exercises that asks students to create the same artefacts for given code as they would use for debugging their own code.

References

[1]
A. Moreno, N. Myller, E. Sutinen, and M. Ben-Ari. Visualizing Programs with Jeliot 3. In Proceedings of the Working Conference on Advanced Visual Interfaces, AVI '04, pages 373--376, New York, NY, USA, 2004. ACM.
[2]
M. Striewe and M. Goedicke. Using Run Time Traces in Automated Programming Tutoring. In Proceedings of the 16th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, ITiCSE 2011, Darmstadt, Germany, June 27--29, pages 303--307, 2011.

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  • (2023)Logistics, Affordances, and Evaluation of Build ProgrammingProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569756(179-185)Online publication date: 2-Mar-2023

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  1. Code reading exercises using run time traces

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    cover image ACM Conferences
    ITiCSE '14: Proceedings of the 2014 conference on Innovation & technology in computer science education
    June 2014
    378 pages
    ISBN:9781450328333
    DOI:10.1145/2591708
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 June 2014

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    Author Tags

    1. e-assessment
    2. feedback generation
    3. programming
    4. reading code

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    ITiCSE '14 Paper Acceptance Rate 36 of 164 submissions, 22%;
    Overall Acceptance Rate 552 of 1,613 submissions, 34%

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    • (2023)Logistics, Affordances, and Evaluation of Build ProgrammingProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569756(179-185)Online publication date: 2-Mar-2023

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