Fast Detection of Concurrency Errors by State Space Traversal with Randomization and Early Backtracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10387411" target="_blank" >RIV/00216208:11320/19:10387411 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=YtjLTyM86p" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=YtjLTyM86p</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10009-018-0484-7" target="_blank" >10.1007/s10009-018-0484-7</a>
Alternative languages
Result language
angličtina
Original language name
Fast Detection of Concurrency Errors by State Space Traversal with Randomization and Early Backtracking
Original language description
State space traversal is a very popular approach to detect concurrency errors and test concurrent programs. However, it is not practically feasible for complex programs with many thread interleavings and a large state space. Many techniques explore only a part of the state space in order to find errors quickly --- building upon the observation that errors can often be found in a particular small part of the state space. Great improvements of performance have been achieved also through randomization. In the context of this research direction, we present the DFS-RB algorithm that augments the standard algorithm for depth-first traversal with early backtracking. Specifically, it is possible to backtrack early from a state before all outgoing transitions have been explored. The DFS-RB algorithm is non-deterministic --- it uses random numbers, together with values of several parameters, to determine when and how early backtracking takes place in the search. To evaluate DFS-RB, we performed a large experimental study with our prototype implementation in Java Pathfinder on several Java programs. The results show that DFS-RB achieves better performance in terms of speed and error detection than many state-of-the-art techniques for many benchmarks in our set. Nevertheless, it is difficult to find a single configuration of DFS-RB that works well for many different benchmarks. We designed a ranking algorithm whose purpose is to identify configurations that yield overall consistently good performance with a small variation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-17403S" target="_blank" >GA18-17403S: Automated Incremental Verification and Debugging of Concurrent Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal on Software Tools for Technology Transfer
ISSN
1433-2779
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
4
Country of publishing house
DE - GERMANY
Number of pages
36
Pages from-to
365-400
UT code for WoS article
000476539900001
EID of the result in the Scopus database
2-s2.0-85041223636