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Resource leaks occur when a program fails to release a finite resource after it is no longer needed. These leaks are a significant cause of real-world crashes and performance issues. Given their critical impact on software performance and security, detecting and preventing resource leaks is a crucial problem. Recent research has proposed a specify-and-check approach to prevent resource leaks. In this approach, programmers write resource management specifications that guide how resources are stored, passed around, and released within an application. We have developed a tool called RLC#, for detecting resource leaks in C# code. Inspired by the Resource Leak Checker (RLC) from the Checker Framework, RLC# employs CodeQL for intraprocedural data flow analysis. The tool operates in a modular fashion and relies on resource management specifications integrated at method boundaries for interprocedural analysis. In practice, RLC# has successfully identified 24 resource leaks in open-source projects and internal proprietary Azure microservices. Its implementation is declarative, and it scales well. While it incurs a reasonable false positive rate, the burden on developers is minimal, involving the addition of specifications to the source code. |
