This paper proposes a pipeline for quantitatively evaluating interactive Large Language
Models (LLMs) using publicly available datasets. We carry out an extensive technical …

To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …

Software migration is garnering increasing attention with the evolution of software and
society. Early studies mainly relied on handcrafted translation rules to translate between two …

(Source) code summarization aims to automatically generate succinct natural language
summaries for given code snippets. Such summaries play a significant role in promoting …

The increasing use of generative Artificial Intelligence (AI) in modern software engineering,
particularly Large Language Models (LLMs) for code generation, has transformed …

The rapid expansion of smart contracts on blockchain platforms has significantly advanced
the automation of transactions and agreements. However, the growing reliance on smart …

Code comments are crucial for program comprehension, and the automated generation of
comments greatly enhances the efficiency of code commenting. Statement-level code …

The rapid expansion of software systems and the growing number of reported vulnerabilities
have emphasized the importance of accurately identifying vulnerable code segments …

LLM-powered coding and development assistants have become prevalent to programmers'
workflows. However, concerns about the trustworthiness of LLMs for code persist despite …

Vulnerability prediction is an important mechanism for secure software development, as it
enables the early identification and mitigation of software vulnerabilities. Vulnerability …