Boosted Decision Trees for Behaviour Mining of Concurrent Programs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112036" target="_blank" >RIV/00216305:26230/14:PU112036 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Boosted Decision Trees for Behaviour Mining of Concurrent Programs
Original language description
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 thisproblem 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 (orranges of values) of these parameters are suitable for meeting this goal. We present experiments that show that our approach can indeed fully automaticallyimprove 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.
Czech name
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Czech description
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Classification
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)
Result continuities
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
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of MEMICS'14
ISBN
978-80-214-5022-6
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
15-27
Publisher name
NOVPRESS s.r.o.
Place of publication
Brno
Event location
Telč
Event date
Oct 17, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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