A systematic literature review on large language models for automated program repair

Q Zhang, C Fang, Y **e, YX Ma, W Sun, Y Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Automated Program Repair (APR) attempts to patch software bugs and reduce manual
debugging efforts. Very recently, with the advances in Large Language Models (LLMs), an …

Agentless: Demystifying llm-based software engineering agents

CS **a, Y Deng, S Dunn, L Zhang - arxiv preprint arxiv:2407.01489, 2024 - arxiv.org
Recent advancements in large language models (LLMs) have significantly advanced the
automation of software development tasks, including code synthesis, program repair, and …

Repairagent: An autonomous, llm-based agent for program repair

I Bouzenia, P Devanbu, M Pradel - arxiv preprint arxiv:2403.17134, 2024 - arxiv.org
Automated program repair has emerged as a powerful technique to mitigate the impact of
software bugs on system reliability and user experience. This paper introduces RepairAgent …

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 …

Robustness, security, privacy, explainability, efficiency, and usability of large language models for code

Z Yang, Z Sun, TZ Yue, P Devanbu, D Lo - arxiv preprint arxiv:2403.07506, 2024 - arxiv.org
Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …

A survey on large language models for software engineering

Q Zhang, C Fang, Y **e, Y Zhang, Y Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

Large language model-based agents for software engineering: A survey

J Liu, K Wang, Y Chen, X Peng, Z Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI
agents, ie, LLM-based agents. Compared to standalone LLMs, LLM-based agents …

Efficient and green large language models for software engineering: Vision and the road ahead

J Shi, Z Yang, D Lo - ACM Transactions on Software Engineering and …, 2024 - dl.acm.org
Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …

Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead

J Shi, Z Yang, D Lo - arxiv preprint arxiv:2404.04566, 2024 - arxiv.org
Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …

EcoAct: Economic Agent Determines When to Register What Action

S Zhang, J Zhang, D Ding, MH Garcia, A Mallick… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent advancements have enabled Large Language Models (LLMs) to function as agents
that can perform actions using external tools. This requires registering, ie, integrating tool …