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

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

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

The increasing popularity of large language models (LLMs) has paved the way for their
application in diverse domains. This paper proposes a benchmarking framework tailored …

There has been a recent explosion of research on Large Language Models (LLMs) for
software engineering tasks, in particular code generation. However, results from LLMs can …

Large Language Models (LLMs) are frequently discussed in academia and the general
public as support tools for virtually any use case that relies on the production of text …

Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in
code generation. Despite significant achievements, they rely on enormous training data to …

Automated logging statement generation supports developers in documenting critical
software runtime behavior. Given the great success in natural language generation and …

For decades, much software engineering research has been dedicated to devising
automated solutions aimed at enhancing developer productivity and elevating software …

Unit testing is an essential activity in software development for verifying the correctness of
software components. However, manually writing unit tests is challenging and time …