The significant advancements in Large Language Models (LLMs) have resulted in their
widespread adoption across various tasks within Software Engineering (SE), including …

This article explores the adoption of Generative Artificial Intelligence (AI) tools within the
domain of software engineering, focusing on the influencing factors at the individual …

Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …

Our paper compares the correctness, efficiency, and maintainability of human-generated
and AI-generated program code. For that, we analyzed the computational resources of AI …

Data analysis is challenging as analysts must navigate nuanced decisions that may yield
divergent conclusions. AI assistants have the potential to support analysts in planning their …

Recent studies have adopted pre-trained language models, such as CodeT5 and CodeGPT,
for automated program generation tasks like code generation, repair, and translation …

With software development increasingly reliant on innovative technologies, there is a
growing interest in exploring the potential of generative AI tools to streamline processes and …

With the advances in machine learning, there is a growing interest in AI-enabled tools for
autocompleting source code. GitHub Copilot, also referred to as the “AI Pair Programmer” …

Generative artificial intelligence (GenAI) technologies using LLMs (large language models),
such as ChatGPT and GitHub Copilot, with the ability to create code, have the potential to …

ChatGPT has significantly impacted software development practices, providing substantial
assistance to developers in various tasks, including coding, testing, and debugging. Despite …