Static Detection of Race Conditions in Erlang

We address the problem of detecting Sot ne commonly occurring kinds of race conditions in Er tang programs using static analysis. Our analysis is completely automatic, fast and scalable, and avoids false alarms by taking language characteristics into account. We have integrated our analysis in dialyzer, a commonly used tool for detecting software defects in Erlang programs which is part of Erlang/GTP, and evaluate its effectiveness and performance on a suite of widely used industrial and open source programs of considerable size. The analysis has detected a significant number of previously unknown race conditions.