A Think-Aloud Study of Novice Debugging

Author:

Whalley Jacqueline1ORCID,Settle Amber2ORCID,Luxton-Reilly Andrew3ORCID

Affiliation:

1. Auckland University of Technology, Auckland, New Zealand

2. DePaul University, Chicago, Illinois, USA

3. University of Auckland, Auckland, New Zealand

Abstract

Debugging is a core skill required by programmers, yet we know little about how to effectively teach the process of debugging. The challenges of learning debugging are compounded for novices who lack experience and are still learning the tools they need to program effectively. In this work, we report a case study in which we used a think-aloud protocol to gain insight into the behaviour of three students engaged in debugging tasks. Our qualitative analysis reveals a variety of helpful practices and barriers that limit the effectiveness of debugging. We observe that comprehension, evidence-based activities, and workflow practices all contribute to novice debugging success. Lack of sustained effort, precision, and methodical processes negatively impact debugging effectiveness. We anticipate that understanding how students engage in debugging tasks will aid future work to address ineffective behaviours and promote effective debugging activities.

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Debugging Pathways: Open-Ended Discrepancy Noticing, Causal Reasoning, and Intervening;ACM Transactions on Computing Education;2024-05-10

2. Testing and Debugging Habits of Intermediate Student Programmers;2024 IEEE Global Engineering Education Conference (EDUCON);2024-05-08

3. Finding and Investigating Buggy Codes to Make CS1 Learning Efficient;Proceedings of the 17th Innovations in Software Engineering Conference;2024-02-22

4. A Model of How Students Engineer Test Cases With Feedback;ACM Transactions on Computing Education;2024-01-14

5. A Comparative Study of High and Low Performing Students’ Visual Effort and Attention When Identifying Syntax Errors;Lecture Notes in Computer Science;2024

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