The objective of this study is to realize a debugging support tool to help programming novices solve program errors efficiently. The proposed tool accumulates and stores failure knowledge, including examples of errors encountered by novice programmers and their solutions. By utilizing this database, the tool can search and find appropriate solutions to errors encountered by users in real time. Errors are categorized as compile errors, link errors, run-time errors, and logic errors, each of which has its own unique solution. In this study, particular emphasis is placed on assistance with compile errors. Failure knowledge consists of sample source code that includes the location and cause of errors encountered by the novice user, as well as solutions. When an error occurs, the user enters the relevant source code and error message into the tool, and the tool searches the database to provide the corresponding solution and explanation. The system also provides a space for users to enter their own analyses and explanations, which can be shared with other novices to promote mutual understanding. The proposed system utilizes a structured database for efficient error resolution, containing tables for storing and retrieving error messages, corresponding references, and user considerations. The effectiveness and applicability of the proposed tool should be verified.
| Published in | Science Journal of Education (Volume 11, Issue 6) |
| DOI | 10.11648/j.sjedu.20231106.15 |
| Page(s) | 211-219 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Programming Education, Web Application, Debugging Support, Machine Learning
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APA Style
Zhu, X. (2023). Debugging Support Tool Using Knowledge of Failure. Science Journal of Education, 11(6), 211-219. https://doi.org/10.11648/j.sjedu.20231106.15
ACS Style
Zhu, X. Debugging Support Tool Using Knowledge of Failure. Sci. J. Educ. 2023, 11(6), 211-219. doi: 10.11648/j.sjedu.20231106.15
AMA Style
Zhu X. Debugging Support Tool Using Knowledge of Failure. Sci J Educ. 2023;11(6):211-219. doi: 10.11648/j.sjedu.20231106.15
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Download@article{10.11648/j.sjedu.20231106.15,
author = {Xingyue Zhu},
title = {Debugging Support Tool Using Knowledge of Failure},
journal = {Science Journal of Education},
volume = {11},
number = {6},
pages = {211-219},
doi = {10.11648/j.sjedu.20231106.15},
url = {https://doi.org/10.11648/j.sjedu.20231106.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjedu.20231106.15},
abstract = {The objective of this study is to realize a debugging support tool to help programming novices solve program errors efficiently. The proposed tool accumulates and stores failure knowledge, including examples of errors encountered by novice programmers and their solutions. By utilizing this database, the tool can search and find appropriate solutions to errors encountered by users in real time. Errors are categorized as compile errors, link errors, run-time errors, and logic errors, each of which has its own unique solution. In this study, particular emphasis is placed on assistance with compile errors. Failure knowledge consists of sample source code that includes the location and cause of errors encountered by the novice user, as well as solutions. When an error occurs, the user enters the relevant source code and error message into the tool, and the tool searches the database to provide the corresponding solution and explanation. The system also provides a space for users to enter their own analyses and explanations, which can be shared with other novices to promote mutual understanding. The proposed system utilizes a structured database for efficient error resolution, containing tables for storing and retrieving error messages, corresponding references, and user considerations. The effectiveness and applicability of the proposed tool should be verified.
},
year = {2023}
}
TY - JOUR T1 - Debugging Support Tool Using Knowledge of Failure AU - Xingyue Zhu Y1 - 2023/12/20 PY - 2023 N1 - https://doi.org/10.11648/j.sjedu.20231106.15 DO - 10.11648/j.sjedu.20231106.15 T2 - Science Journal of Education JF - Science Journal of Education JO - Science Journal of Education SP - 211 EP - 219 PB - Science Publishing Group SN - 2329-0897 UR - https://doi.org/10.11648/j.sjedu.20231106.15 AB - The objective of this study is to realize a debugging support tool to help programming novices solve program errors efficiently. The proposed tool accumulates and stores failure knowledge, including examples of errors encountered by novice programmers and their solutions. By utilizing this database, the tool can search and find appropriate solutions to errors encountered by users in real time. Errors are categorized as compile errors, link errors, run-time errors, and logic errors, each of which has its own unique solution. In this study, particular emphasis is placed on assistance with compile errors. Failure knowledge consists of sample source code that includes the location and cause of errors encountered by the novice user, as well as solutions. When an error occurs, the user enters the relevant source code and error message into the tool, and the tool searches the database to provide the corresponding solution and explanation. The system also provides a space for users to enter their own analyses and explanations, which can be shared with other novices to promote mutual understanding. The proposed system utilizes a structured database for efficient error resolution, containing tables for storing and retrieving error messages, corresponding references, and user considerations. The effectiveness and applicability of the proposed tool should be verified. VL - 11 IS - 6 ER -
Graduate School of Information Sciences and Arts, Toyo University, Saitama, Japan
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