Rap-gen: Retrieval-augmented patch generation with codet5 for automatic program repair

W Wang, Y Wang, S Joty, SCH Hoi - Proceedings of the 31st ACM Joint …, 2023 - dl.acm.org
Automatic program repair (APR) is crucial to reduce manual debugging efforts for
developers and improve software reliability. While conventional search-based techniques …

Dear: A novel deep learning-based approach for automated program repair

Y Li, S Wang, TN Nguyen - … of the 44th international conference on …, 2022 - dl.acm.org
The existing deep learning (DL)-based automated program repair (APR) models are limited
in fixing general software defects. We present DEAR, a DL-based approach that supports …

Deep code search

X Gu, H Zhang, S Kim - Proceedings of the 40th international conference …, 2018 - dl.acm.org
To implement a program functionality, developers can reuse previously written code
snippets by searching through a large-scale codebase. Over the years, many code search …

A new era in software security: Towards self-healing software via large language models and formal verification

N Tihanyi, R Jain, Y Charalambous, MA Ferrag… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper introduces an innovative approach that combines Large Language Models
(LLMs) with Formal Verification strategies for automatic software vulnerability repair. Initially …

TBar: Revisiting template-based automated program repair

K Liu, A Koyuncu, D Kim, TF Bissyandé - Proceedings of the 28th ACM …, 2019 - dl.acm.org
We revisit the performance of template-based APR to build comprehensive knowledge
about the effectiveness of fix patterns, and to highlight the importance of complementary …