Abstract | ||
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We address the problem of detecting some commonly occurring kinds of race conditions in Erlang 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/OTP, 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. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1007/978-3-642-11503-5_11 | PADL |
Keywords | Field | DocType |
considerable size,erlang program,static detection,significant number,avoids false alarm,unknown race condition,language characteristic,race condition,software defect,open source program,static analysis,computer science | Race condition,Programming language,False alarm,Model checking,Computer science,Erlang (programming language),Static analysis,Call graph,Software,Distributed computing,Scalability | Conference |
Volume | ISSN | ISBN |
5937 | 0302-9743 | 3-642-11502-0 |
Citations | PageRank | References |
14 | 0.69 | 13 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maria Christakis | 1 | 200 | 16.69 |
Konstantinos F. Sagonas | 2 | 813 | 68.98 |