This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

The code written by developers usually suffers from efficiency problems and contain various
performance bugs. These inefficiencies necessitate the research of automated refactoring …

In industrial control systems, the generation and verification of Programmable Logic
Controller (PLC) code are critical for ensuring operational efficiency and safety. While Large …

Bug reports are crucial in software maintenance, with concise summaries significantly
enhancing the efficiency of bug triagers and ultimately contributing to the development of …

Patching software become overwhelming for system administrators due to the large amounts
of patch releases. Administrator should prioritize security patches to reduce the exposure to …

Large Language Models (LLMs) are increasingly being applied across various domains,
including code-related tasks such as code translation. Previous studies have explored using …

In software maintenance, concise summaries of bug reports are crucial, significantly
enhancing developer efficiency and ultimately improving software quality and user …

Analysing source code using deep learning aids compile-time decisions affecting
performance in embedded devices. We propose DeepCodeGraph, a general graph-based …

Source code optimization enables developers to enhance programs at the human-computer
interaction level, thereby improving development efficiency and product quality. With the rise …

Deep learning, leveraging artificial neural networks, has demonstrated significant
capabilities in understanding intricate patterns within data. In recent years, its prowess has …