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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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