activity
20182026
most citedMitigating Sybils in Federated Learning Poisoning

356 citations · 457 across the 23 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE2025

Cracking CodeWhisperer: Analyzing Developers' Interactions and Patterns During Programming Tasks

Jeena Javahar, Tanya Budhrani, Manaal Basha +3

The use of AI code-generation tools is becoming increasingly common, making it important to understand how software developers are adopting these tools. In this study, we investiga…

cs.SE2025

Toward Inclusive AI-Driven Development: Exploring Gender Differences in Code Generation Tool Interactions

Manaal Basha, Ivan Beschastnikh, Gema Rodriguez-Perez +1

The increasing reliance on Code Generation Tools (CGTs), such as Claude Code and GitHub Copilot, is revamping programming workflows and raising critical questions about fairness an…

cs.SE2023★ 1 cited

Empirical Study on Transformer-based Techniques for Software Engineering

Yan Xiao, Xinyue Zuo, Lei Xue +3

Many Transformer-based pre-trained models for code have been developed and applied to code-related tasks. In this paper, we review the existing literature, examine the suitability…

cs.SE2021

Linear-time Temporal Logic guided Greybox Fuzzing

Ruijie Meng, Zhen Dong, Jialin Li +2

Software model checking is a verification technique which is widely used for checking temporal properties of software systems. Even though it is a property verification technique,…

cs.SE2021

Self-Checking Deep Neural Networks in Deployment

Yan Xiao, Ivan Beschastnikh, David S. Rosenblum +4

The widespread adoption of Deep Neural Networks (DNNs) in important domains raises questions about the trustworthiness of DNN outputs. Even a highly accurate DNN will make mistakes…