activity
20192026
most citedVerifying Data Constraint Equivalence in FinTech Systems

2 citations · 5 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.SE2026

ORCA: Observability-Grounded Program Repair for Microservice Incidents

Yuanchen Gao, Yifang Tian, Yiran Li +2

Microservice failures are often diagnosed from operational telemetry. However, automated program repair systems usually start from issue reports, localized code context, or failing…

cs.SE2026

ConCovUp: Effective Agent-Based Test Driver Generation for Concurrency Testing

Yuandao Cai, Shuhao Fu, Wensheng Tang +3

Concurrency testing is essential to improve the reliability and security of multi-threaded programs. Dynamic analysis tools, such as TSan, depend on high-quality test drivers that…

cs.SE2026

DAInfer+: Neurosymbolic Inference of API Specifications from Documentation via Embedding Models

Maryam Masoudian, Anshunkang Zhou, Chengpeng Wang +1

Modern software systems heavily rely on various libraries, which require understanding the API semantics in static analysis. However, summarizing API semantics remains challenging…

cs.SE2025

Boosting Path-Sensitive Value Flow Analysis via Removal of Redundant Summaries

Yongchao Wang, Yuandao Cai, Charles Zhang

Value flow analysis that tracks the flow of values via data dependence is a widely used technique for detecting a broad spectrum of software bugs. However, the scalability issue of…

cs.SE2021

Duplicate-sensitivity Guided Transformation Synthesis for DBMS Correctness Bug Detection

Yushan Zhang, Peisen Yao, Rongxin Wu +1

Database Management System (DBMS) plays a core role in modern software from mobile apps to online banking. It is critical that DBMS should provide correct data to all applications.…

cs.SE2019★ 1 cited

Conquering the Extensional Scalability Problem for Value-Flow Analysis Frameworks

Qingkai Shi, Rongxin Wu, Gang Fan +1

With an increasing number of value-flow properties to check, existing static program analysis still tends to have scalability issues when high precision is required. We observe tha…