1 Search Results for "Huang, Shiyou"

Document

DOI: 10.4230/LIPIcs.ECOOP.2017.16

Speeding Up Maximal Causality Reduction with Static Dependency Analysis

Authors: Shiyou Huang and Jeff Huang

Published in: LIPIcs, Volume 74, 31st European Conference on Object-Oriented Programming (ECOOP 2017)

Abstract

Stateless Model Checking (SMC) offers a powerful approach to verifying multithreaded programs but suffers from the state-space explosion problem caused by the huge thread interleaving space. The pioneering reduction technique Partial Order Reduction (POR) mitigates this problem by pruning equivalent interleavings from the state space. However, limited by the happens-before relation, POR still explores redundant executions. The recent advance, Maximal Causality Reduction (MCR), shows a promising performance improvement over the existing reduction techniques, but it has to construct complicated constraints to ensure the feasibility of the derived execution due to the lack of dependency information. In this work, we present a new technique, which extends MCR with static analysis to reduce the size of the constraints, thus speeding up the exploration of the state space. We also address the redundancy problem caused by the use of static analysis. We capture the dependency between a read and a later event e in the trace from the system dependency graph and identify those reads that e is not control dependent on. Our approach then ignores the constraints over such reads to reduce the complexity of the constraints. The experimental results show that compared to MCR, the number of the constraints and the solving time by our approach are averagely reduced by 31.6% and 27.8%, respectively.

Cite as

Shiyou Huang and Jeff Huang. Speeding Up Maximal Causality Reduction with Static Dependency Analysis. In 31st European Conference on Object-Oriented Programming (ECOOP 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 74, pp. 16:1-16:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

Copy BibTex To Clipboard

@InProceedings{huang_et_al:LIPIcs.ECOOP.2017.16,
  author =	{Huang, Shiyou and Huang, Jeff},
  title =	{{Speeding Up Maximal Causality Reduction with Static Dependency Analysis}},
  booktitle =	{31st European Conference on Object-Oriented Programming (ECOOP 2017)},
  pages =	{16:1--16:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-035-4},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{74},
  editor =	{M\"{u}ller, Peter},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2017.16},
  URN =		{urn:nbn:de:0030-drops-72523},
  doi =		{10.4230/LIPIcs.ECOOP.2017.16},
  annote =	{Keywords: Model Checking, Dynamic Analysis, Program Dependency Analysis}
}

Refine by Author
1 Huang, Jeff
1 Huang, Shiyou

Refine by Classification

Refine by Keyword
1 Dynamic Analysis
1 Model Checking
1 Program Dependency Analysis

Refine by Type
1 document

Refine by Publication Year
1 2017

1 Search Results for "Huang, Shiyou"

Speeding Up Maximal Causality Reduction with Static Dependency Analysis

Abstract

Cite as

Thanks for your feedback!

Could not send message