GoPV: A Static Analyzer for Finding Blocking Concurrency Bugs Due to Misuse of Shared-Memory Synchronization in Go

GoPV is a static analyzer for detecting blocking concurrency bugs due to misuse of shared-memory synchronization primitive in Go. It performs concurrency analysis and (post-)dominator analysis based on call graph and control flow graphs to detect potential concurrency bugs in Go programs. The experimental results show that GoPV detects all blocking concurrency bugs related to shared-memory synchronization on eight benchmark programs. In addition, GoPV uncovers 17 such bugs in 21 large Go applications within 2.78 hours, demonstrating its effectiveness and efficiency.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1145/3713081.3731734
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

GoPV: A Static Analyzer for Finding Blocking Concurrency Bugs Due to Misuse of Shared-Memory Synchronization in Go

Wei Song, Jeff Huang, Xiaofan Xu
Parallel Computing and Optimization Techniques
article

GoPV: A Static Analyzer for Finding Blocking Concurrency Bugs Due to Misuse of Shared-Memory Synchronization in Go

Wei Song, Jeff Huang, Xiaofan Xu
article en

Abstract

GoPV is a static analyzer for detecting blocking concurrency bugs due to misuse of shared-memory synchronization primitive in Go. It performs concurrency analysis and (post-)dominator analysis based on call graph and control flow graphs to detect potential concurrency bugs in Go programs. The experimental results show that GoPV detects all blocking concurrency bugs related to shared-memory synchronization on eight benchmark programs. In addition, GoPV uncovers 17 such bugs in 21 large Go applications within 2.78 hours, demonstrating its effectiveness and efficiency.

Nanjing University of Science and Technology (CN), Texas A&M University (US)
National Natural Science Foundation of China
Openalex Percentile: Top 88%
Parallel Computing and Optimization Techniques
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