2 citations · 2 across the 5 of their papers we have counts for
7 papers
Characterising Bugs in Jupyter Platform
Yutian Tang, Hongchen Cao, Yuxi Chen +1
As a representative literate programming platform, Jupyter is widely adopted by developers, data analysts, and researchers for replication, data sharing, documentation, interactive…
KEENHash: Hashing Programs into Function-Aware Embeddings for Large-Scale Binary Code Similarity Analysis
Zhijie Liu, Qiyi Tang, Sen Nie +3
Binary code similarity analysis (BCSA) is a crucial research area in many fields such as cybersecurity. Specifically, function-level diffing tools are the most widely used in BCSA:…
An LLM-based Readability Measurement for Unit Tests' Context-aware Inputs
Zhichao Zhou, Yutian Tang, Yun Lin +1
Automated test techniques usually generate unit tests with higher code coverage than manual tests. However, the readability of automated tests is crucial for code comprehension and…
SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection
Jianzhong Su, Jiachi Chen, Zhiyuan Fang +3
As decentralized applications (DApps) proliferate, the increased complexity and usage of smart contracts have heightened their susceptibility to security incidents and financial lo…
LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
Zhijie Liu, Yutian Tang, Meiyun Li +4
XML configurations are integral to the Android development framework, particularly in the realm of UI display. However, these configurations can introduce compatibility issues (bug…
Human-in-the-loop online just-in-time software defect prediction
Xutong Liu, Yufei Zhou, Yutian Tang +2
Online Just-In-Time Software Defect Prediction (O-JIT-SDP) uses an online model to predict whether a new software change will introduce a bug or not. However, existing studies negl…