Automatic detection and correction of code errors applying machine learning - current research state
Pages 456 - 457
Abstract
This paper presents an overview of the use of machine learning (ML) algorithms in automatically detecting and correcting errors in code. The main research questions focus on existing approaches, automatic error correction, and challenges related to the implementation of ML algorithms. The analysis of answers to these questions allowed us to understand the current state of knowledge and indicates the potential areas for further research and development of tools supporting programming through error detection.
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Published In
June 2024
728 pages
ISBN:9798400717017
DOI:10.1145/3661167
Copyright © 2024 Owner/Author.
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
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Published: 18 June 2024
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EASE 2024
EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering
June 18 - 21, 2024
Salerno, Italy
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Overall Acceptance Rate 71 of 232 submissions, 31%
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