Detection of uses of disposed resources in C\# source code using static analysis
The paper is devoted to the scalable approach for the detection of uses of disposed resources in C# source code, that is based on static symbolic execution. The resulting detector is implemented as a part of an industrial SharpChecker, that performs a scalable inter-procedural path-, and context-sensitive analysis. The evaluation of the developed detector shows 70% true positive ratio allowing it to include to the standard set of detectors and provide functionality to users. The paper describes a detection algorithm that takes into account the limitations imposed by the existing infrastructure of SharpChecker, its evaluation on the set of open-source programs containing 6 mln LOC and some examples of found errors in real projects.