Coding Agents: A Comprehensive Survey of Automated Bug Fixing Systems and Benchmarks

One of the trickiest problems in software engineering is automating software issue fixes, which calls for a thorough comprehension of contextual relationships, code semantics, and dynamic debugging techniques. The development of automatic program repair (APR) is examined in this survey, which traces...

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Bibliographic Details
Published in:	Proceedings (International Conference on Communication Systems and Network Technologies Online) pp. 680 - 686
Main Authors:	Puvvadi, Meghana, Arava, Sai Kumar, Santoria, Adarsh, Chennupati, Sesha Sai Prasanna, Puvvadi, Harsha Vardhan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 07.03.2025
Subjects:	Agent-Based Models AI in Software Development Automated Program Repair Benchmark testing Context modeling Context-Aware Debugging Debugging Debugging Benchmarks Large language models Maintenance engineering Multi-Agent Systems Scalability Semantics Software Software engineering Software Engineering Automation Surveys
ISSN:	2473-5655
Online Access:	Get full text
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