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DUDKA, V. KŘENA, B. LETKO, Z. ŠIMKOVÁ, H. VOJNAR, T.
Original Title
Multi-objective Genetic Optimization for Noise-Based Testing of Concurrent Software
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Concurrent programs, testing, noise injection, genetic algorithm, multi-objective
Authors
DUDKA, V.; KŘENA, B.; LETKO, Z.; ŠIMKOVÁ, H.; VOJNAR, T.
RIV year
2014
Released
25. 8. 2014
Publisher
Springer Verlag
Location
Heidelberg
ISBN
978-3-319-09939-2
Book
SSBSE'14
Edition
Lecture Notes in Computer Science
Pages from
107
Pages to
122
Pages count
16
BibTex
@inproceedings{BUT111622, author="Vendula {Dudka} and Bohuslav {Křena} and Zdeněk {Letko} and Hana {Šimková} and Tomáš {Vojnar}", title="Multi-objective Genetic Optimization for Noise-Based Testing of Concurrent Software", booktitle="SSBSE'14", year="2014", series="Lecture Notes in Computer Science", volume="8636", pages="107--122", publisher="Springer Verlag", address="Heidelberg", doi="10.1007/978-3-319-09940-8\{_}8", isbn="978-3-319-09939-2" }