Vulseye: Detect smart contract vulnerabilities via stateful directed graybox fuzzing

R Liang, J Chen, C Wu, K He, Y Wu… - IEEE Transactions …, 2025‏ - ieeexplore.ieee.org
Smart contracts, the cornerstone of decentralized applications, have become increasingly
prominent in revolutionizing the digital landscape. However, vulnerabilities in smart …

A catalog of data smells for coding tasks

A Vitale, R Oliveto, S Scalabrino - ACM Transactions on Software …, 2024‏ - dl.acm.org
Large Language Models (LLMs) are increasingly becoming fundamental in supporting
software developers in coding tasks. The massive datasets used for training LLMs are often …

Source code summarization in the era of large language models

W Sun, Y Miao, Y Li, H Zhang, C Fang, Y Liu… - arxiv preprint arxiv …, 2024‏ - arxiv.org
To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …

Promises and perils of using Transformer-based models for SE research

Y **ao, X Zuo, X Lu, JS Dong, X Cao, I Beschastnikh - Neural Networks, 2024‏ - Elsevier
Many Transformer-based pre-trained models for code have been developed and applied to
code-related tasks. In this paper, we analyze 519 papers published on this topic during 2017 …

Resource-Efficient & Effective Code Summarization

S Afrin, J Call, KN Nguyen, O Chaparro… - arxiv preprint arxiv …, 2025‏ - arxiv.org
Code Language Models (CLMs) have demonstrated high effectiveness in automating
software engineering tasks such as bug fixing, code generation, and code documentation …

Secure Resource Allocation via Constrained Deep Reinforcement Learning

J Sun, Q Gao, C Wu, Y Li, J Wang, D Niyato - arxiv preprint arxiv …, 2025‏ - arxiv.org
The proliferation of Internet of Things (IoT) devices and the advent of 6G technologies have
introduced computationally intensive tasks that often surpass the processing capabilities of …

Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models

J Zhang, H Li, D Wu, X Sun, Q Lu, G Long - arxiv preprint arxiv …, 2024‏ - arxiv.org
Code Summarization Model (CSM) has been widely used in code production, such as
online and web programming for PHP and Javascript. CSMs are essential tools in code …

Demonstration Attack against In-Context Learning for Code Intelligence

Y Ge, W Sun, Y Lou, C Fang, Y Zhang, Y Li… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Recent advancements in large language models (LLMs) have revolutionized code
intelligence by improving programming productivity and alleviating challenges faced by …