33 citations · 61 across the 9 of their papers we have counts for
6 papers · 1 filter
Characterizing Tests in IoT Software: Practices, Challenges and Opportunities
Rufeng Chen, Hengcheng Zhu, Wuqi Zhang +2
The Internet of Things (IoT) is experiencing rapid growth. Smart devices are emerging in smart homes and industrial applications, performing mission-critical tasks. Bugs in IoT sof…
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
Jialun Cao, Songqiang Chen, Wuqi Zhang +2
Data contamination presents a critical barrier preventing widespread industrial adoption of advanced software engineering techniques that leverage code language models (CLMs). This…
Towards Understanding the Bugs in Solidity Compiler
Haoyang Ma, Wuqi Zhang, Qingchao Shen +3
Solidity compiler plays a key role in enabling the development of smart contract applications on Ethereum by governing the syntax of a domain-specific language called Solidity and…
Concerned with Data Contamination? Assessing Countermeasures in Code Language Model
Jialun Cao, Wuqi Zhang, Shing-Chi Cheung
Various techniques have been proposed to leverage the capabilities of code language models (CLMs) for SE tasks. While these techniques typically evaluate their effectiveness using…
Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation
Wuqi Zhang, Lili Wei, Shing-Chi Cheung +4
Front-running attacks have been a major concern on the blockchain. Attackers launch front-running attacks by inserting additional transactions before upcoming victim transactions t…
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications
Yongqiang Tian, Wuqi Zhang, Ming Wen +4
Model compression can significantly reduce the sizes of deep neural network (DNN) models, and thus facilitates the dissemination of sophisticated, sizable DNN models, especially fo…