Detail publikace

Boosted Decision Trees for Behaviour Mining of Concurrent Programs

ŠIMKOVÁ, H. LETKO, Z. KŘENA, B. VOJNAR, T. DUDKA, V. AVROS, R. UR, S. VOLKOVICH, Z.

Originální název

Boosted Decision Trees for Behaviour Mining of Concurrent Programs

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

Testing of concurrent programs is difficult since the scheduling non-determinism requires one to test a huge number of different thread interleavings. Moreover, a simple repetition of test executions will typically examine similar interleavings only. One popular way how to deal with this
problem is to use the noise injection approach, which is, however, parameterized with many parameters whose suitable values are difficult to find. In this paper,
we propose a novel application of classification-based data mining for this purpose. Our approach can identify which test and noise parameters are the most influential for a given program and a given testing goal and which values (or
ranges of values) of these parameters are suitable for meeting this goal. We present experiments that show that our approach can indeed fully automatically
improve noise-based testing of particular programs with a~particular testing goal. At the same time, we use it to obtain new general insights into noise-based testing as well.

Klíčová slova

Testing, noise injection, classification, AdaBoost, multi-threaded programs

Autoři

ŠIMKOVÁ, H.; LETKO, Z.; KŘENA, B.; VOJNAR, T.; DUDKA, V.; AVROS, R.; UR, S.; VOLKOVICH, Z.

Rok RIV

2014

Vydáno

31. 8. 2014

Nakladatel

NOVPRESS s.r.o.

Místo

Brno

ISBN

978-80-214-5022-6

Kniha

Proceedings of MEMICS'14

Strany od

15

Strany do

27

Strany počet

12

BibTex

@inproceedings{BUT111631,
  author="Hana {Šimková} and Zdeněk {Letko} and Bohuslav {Křena} and Tomáš {Vojnar} and Vendula {Dudka} and Renata {Avros} and Shmuel {Ur} and Zeev {Volkovich}",
  title="Boosted Decision Trees for Behaviour Mining of Concurrent Programs",
  booktitle="Proceedings of MEMICS'14",
  year="2014",
  pages="15--27",
  publisher="NOVPRESS s.r.o.",
  address="Brno",
  isbn="978-80-214-5022-6"
}