Towards Bug-Free Distributed Go Programs

📅 2025-06-16
📈 Citations: 0
✨ Influential: 0
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🤖 AI Summary
Communication races in distributed Go programs—caused by violations of the happens-before relation—lead to erroneous message reception, including premature, missing, or partial message delivery. Method: We propose the first static verification framework for a Go subset that extends the happens-before ordering to both buffered and unbuffered channels, integrating formal channel semantics with abstractions of distributed execution traces. Contribution/Results: Our approach enables precise, sound static detection of communication races and fully verifies communication-race-freedom for representative message-driven distributed Go programs. By enforcing correct message ordering at compile time, it eliminates subtle runtime errors stemming from message reordering, thereby significantly enhancing the reliability of distributed systems. The framework is built upon rigorous modeling of Go’s concurrency primitives and supports automated, end-to-end verification without requiring program instrumentation or runtime monitoring.

Technology Category

Search and Optimization: Distributed SearchConstraint Satisfaction and Optimization: Distributed CSP/OptimizationMultiagent Systems: Agent Communication

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📝 Abstract
Programmers of distributed systems need to reason about concurrency to avoid races. However, reasoning about concurrency is difficult, and unexpected races show up as bugs. Data race detection in shared memory systems is well-studied (dynamic data race detection [13], behavioral types [15], dynamic race detection [31]). Similar to how a data race consists of reads and writes not related by happens-before at a shared memory location, a communication race consists of receives and sends not related by happens-before on a shared channel. Communication races are problematic: a receiver expects a specific message from a specific sender, but with a communication race, the receiver can receive a message meant for another receiver, or not receive anything at all. In this work, we describe a verification framework that can prove the absence of communication races for distributed programs that use a subset of the Go programming language, where synchronization is mainly achieved via message passing. We statically reason about how a distributed program executes, using a happens-before order, extended to buffered and unbuffered channels.
Problem

Research questions and friction points this paper is trying to address.

Detecting communication races in distributed Go programs
Proving absence of races via static verification framework
Extending happens-before analysis to Go channels
Innovation

Methods, ideas, or system contributions that make the work stand out.

Static verification framework for Go
Extended happens-before order analysis
Detects communication races in channels
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Z
Zhengqun Koo
Department of Computer Science, School of Computing, National University of Singapore (NUS)