Mund, Jakob and Huuck, R. and Fehnker, Ansgar and Artho, Cyrylle (2013) The Quest for Precision: A Layered Approach for Data Race Detection in Static Analysis. [Conference Proceedings]
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Abstract
Low level data-races in multi-threaded software are hard to detect, especially when requiring exhaustiveness, speed and precision. In this work, we combine ideas from run-time verification, static analysis and model checking to balance the above requirements. In particular, we adopt a well-known dynamic race detection algorithm based on calculating lock sets to static program analysis for achieving exhaustiveness. The resulting data race candidates are in a further step investigated by model checking with respect to a formal threading model to achieve precision. Moreover, we demonstrate the effectiveness of the combined approach by a case study on the open-source TFTP server OpenTFTP, which shows the trade-off between speed and precision in our two-stage analysis.
| Item Type: | Conference Proceedings |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences |
| Depositing User: | Ansgar Fehnker |
| Date Deposited: | 23 Feb 2015 23:33 |
| Last Modified: | 22 Jun 2016 00:15 |
| URI: | https://repository.usp.ac.fj/id/eprint/7693 |
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