Multi-objective Genetic Optimization for Noise-Based Testing of Concurrent Software

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112027" target="_blank" >RIV/00216305:26230/14:PU112027 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-09940-8_8" target="_blank" >http://dx.doi.org/10.1007/978-3-319-09940-8_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-09940-8_8" target="_blank" >10.1007/978-3-319-09940-8_8</a>

Result language
angličtina
Original language name
Multi-objective Genetic Optimization for Noise-Based Testing of Concurrent Software
Original language description
Testing of multi-threaded programs is a~demanding work due to the many possible thread interleavings one should examine. The noise injection technique helps to increase the number of thread interleavings examined during repeated test executions provided that a~suitable setting of noise injection heuristics is used. The problem of finding such a~setting, i.e., the so called test and noise configuration search problem (TNCS problem), is not easy to solve. In this paper, we show how to apply a~multi-objective genetic algorithm (MOGA) to the TNCS problem. In particular, we focus on generation of TNCS solutions that cover a~high number of distinct interleavings (especially those which are rare) and provide stable results at the same time. To achieve this goal, we study suitable metrics and ways how to suppress effects of non-deterministic thread scheduling on the proposed MOGA-based approach. We also discuss a~choice of a~concrete MOGA and its parameters suitable for our setting. Finally, we show on a~set of benchmark programs that our approach provides better results when compared to the commonly used random approach as well as to the sooner proposed use of a~single-objective genetic approach.
Czech name
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Czech description
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Type
D - Article in proceedings
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)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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