Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Program synthesis has been long studied with recent approaches focused on directly using
the power of Large Language Models (LLMs) to generate code. Programming benchmarks …

A code generation model generates code by taking a prompt from a code comment, existing
code, or a combination of both. Although code generation models (eg, GitHub Copilot) are …

Unit testing is a crucial, yet often tedious and time-consuming task. To relieve developers
from this burden, automated unit test generation techniques are developed. Existing …

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

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 …

Automated Graphical User Interface (GUI) testing plays a crucial role in ensuring app quality,
especially as mobile applications have become an integral part of our daily lives. Despite …

Large Language Models (LLMs) have shown a surprising level of performance on multiple
software engineering problems. However, they have not yet been applied to fault …

Software security poses substantial risks to our society because software has become part of
our life. Numerous techniques have been proposed to resolve or mitigate the impact of …