research-article

An Empirical Study of Debugging Patterns Among Novices Programmers

Authors:

Basma S. Alqadi,

Jonathan I. MaleticAuthors Info & Claims

SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

Pages 15 - 20

https://doi.org/10.1145/3017680.3017761

Published: 08 March 2017 Publication History

Abstract

Students taking introductory computer science courses often have difficulty with the debugging process. This work investigates a number of different logical errors that novice programmers encounter and the associated debugging behaviors. Data is collected and analyzed data in two different experiments from 142 subjects. The results show some errors are more difficult than others. Different types of bugs and novices' debugging behaviors are identified. Years of experience showed a significant role in the process of debugging in terms of correctness level and time required for debugging

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Cited By

Yang SBaird MO’Rourke EBrennan KSchneider B(2024)Decoding Debugging Instruction: A Systematic Literature Review of Debugging InterventionsACM Transactions on Computing Education10.1145/369065224:4(1-44)Online publication date: 5-Sep-2024
https://dl.acm.org/doi/10.1145/3690652
Messer MBrown NKölling MShi M(2024)Automated Grading and Feedback Tools for Programming Education: A Systematic ReviewACM Transactions on Computing Education10.1145/363651524:1(1-43)Online publication date: 19-Feb-2024
https://dl.acm.org/doi/10.1145/3636515
Tabassum MGray JSmith DStephenson BStone JBattestilli LRebelsky SShoop L(2024)An Accessible Blocks Language for Students with and without Visual ImpairmentsProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630775(1300-1306)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630775
Show More Cited By

Index Terms

An Empirical Study of Debugging Patterns Among Novices Programmers
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
        CS1

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Published In

cover image ACM Conferences

SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

March 2017

838 pages

ISBN:9781450346986

DOI:10.1145/3017680

General Chairs:
Michael E. Caspersen
Aarhus University
,
Stephen H. Edwards
Virginia Tech
,
Program Chairs:
Tiffany Barnes
North Carolina State University
,
Daniel D. Garcia
University of California, Berkeley

Copyright © 2017 ACM.

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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Published: 08 March 2017

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SIGCSE '17: The 48th ACM Technical Symposium on Computer Science Education

March 8 - 11, 2017

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Cited By

Yang SBaird MO’Rourke EBrennan KSchneider B(2024)Decoding Debugging Instruction: A Systematic Literature Review of Debugging InterventionsACM Transactions on Computing Education10.1145/369065224:4(1-44)Online publication date: 5-Sep-2024
https://dl.acm.org/doi/10.1145/3690652
Messer MBrown NKölling MShi M(2024)Automated Grading and Feedback Tools for Programming Education: A Systematic ReviewACM Transactions on Computing Education10.1145/363651524:1(1-43)Online publication date: 19-Feb-2024
https://dl.acm.org/doi/10.1145/3636515
Tabassum MGray JSmith DStephenson BStone JBattestilli LRebelsky SShoop L(2024)An Accessible Blocks Language for Students with and without Visual ImpairmentsProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630775(1300-1306)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630775
Aljehane SSharif BMaletic J(2023)Studying Developer Eye Movements to Measure Cognitive Workload and Visual Effort for Expertise AssessmentProceedings of the ACM on Human-Computer Interaction10.1145/35911357:ETRA(1-18)Online publication date: 18-May-2023
https://dl.acm.org/doi/10.1145/3591135
Flores RRodrigo M(2020)Wheel-Spinning Models in a Novice Programming ContextJournal of Educational Computing Research10.1177/073563312090606358:6(1101-1120)Online publication date: 19-Feb-2020
https://doi.org/10.1177/0735633120906063
Karvinen K(2018)Choosing novice friendly sensorsInternational Journal of Electrical Engineering & Education10.1177/002072091880082156:3(251-264)Online publication date: 18-Sep-2018
https://doi.org/10.1177/0020720918800821

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