Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

Automated program repair (APR) aims to fix software bugs automatically and plays a crucial
role in software development and maintenance. With the recent advances in deep learning …

With the rapid development and large-scale popularity of program software, modern society
increasingly relies on software systems. However, the problems exposed by software have …

Concept This paper is a living review on automatic program repair 1. Compared to a
traditional survey, a living review evolves over time. I use a concise bullet-list style meant to …

Machine learning (ML) pervades the field of Automated Program Repair (APR). Algorithms
deploy neural machine translation and large language models (LLMs) to generate software …

Deep learning-based program repair has received significant attention from the research
community lately. Most existing techniques treat source code as a sequence of tokens or …

Automated program repair (APR) techniques have achieved conspicuous progress, and are
now capable of producing genuinely correct fixes in scenarios that were well beyond their …

Programming is an essential skill in computer science and across a wide range of
engineering disciplines. However, errors, often referred to as' bugs' in code, can be …

Redundancy-based automated program repair (APR), which generates patches by
referencing existing source code, has gained much attention since they are effective in …

In this paper, we first show that increases in beam size of even just small-sized LLM (1B-7B
parameters) require an extensive GPU resource consumption, leading to up to 80% of …