Publication detail

Testing of Concurrent Programs with Genetic Algorithms

DUDKA, V. KŘENA, B. LETKO, Z. UR, S. VOJNAR, T.

Original Title

Testing of Concurrent Programs with Genetic Algorithms

Type

abstract

Language

English

Original Abstract

Noise injection disturbs the scheduling of program threads in order to increase the probability that more of their different legalinterleavings occur during the testing process. However, there exist many different types of noise heuristics with many different parameters that are not easy to set such that noise injection is really efficient. In this paper, we propose a new way of using genetic algorithms to search for suitable types of noise heuristics and their parameters. This task is formalized as the test andnoise configuration search problem in the paper, followed by a discussion of how to represent instances of this problem for genetic algorithms, which objectives functions to use, as well as parameter tuning of genetic algorithms when solving the problem. The proposed approach is evaluated on a set of benchmarks,showing that it provides significantly better results than the so far preferred random noise injection.

Keywords

genetic algorithms, noise injection, testing, multi-threaded programs

Authors

DUDKA, V.; KŘENA, B.; LETKO, Z.; UR, S.; VOJNAR, T.

Released

26. 10. 2012

Publisher

Masaryk University

Location

Brno

ISBN

978-80-87342-15-2

Book

8th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science

Pages count

1

BibTex

@misc{BUT192867,
  author="Vendula {Dudka} and Bohuslav {Křena} and Zdeněk {Letko} and Shmuel {Ur} and Tomáš {Vojnar}",
  title="Testing of Concurrent Programs with Genetic Algorithms",
  booktitle="8th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science",
  year="2012",
  pages="1",
  publisher="Masaryk University",
  address="Brno",
  isbn="978-80-87342-15-2",
  note="abstract"
}