Model-Based Testing of Automotive Distributed Systems with Automated Prioritization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315006" target="_blank" >RIV/68407700:21230/17:00315006 - isvavai.cz</a>

Výsledek na webu

<a href="http://idaacs.net/2017" target="_blank" >http://idaacs.net/2017</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IDAACS.2017.8095175" target="_blank" >10.1109/IDAACS.2017.8095175</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Model-Based Testing of Automotive Distributed Systems with Automated Prioritization

Popis výsledku v původním jazyce

The paper presents a framework for model-based testing of automotive distributed system and a method of automatic assignment of testing priorities used within the framework. The proposed method utilizes classifiers for automatic assignment of testing priorities to specific parts of the tested system. The paper also introduces a set of extraneous data accompanying the modeling language that are exploited by the proposed method during the classification process. It is shown, that advantages of the presented approach, such as lower requirements for the testing operators’ knowledge, are valuable for the automotive distributed systems testing process.

Název v anglickém jazyce

Model-Based Testing of Automotive Distributed Systems with Automated Prioritization

Popis výsledku anglicky

The paper presents a framework for model-based testing of automotive distributed system and a method of automatic assignment of testing priorities used within the framework. The proposed method utilizes classifiers for automatic assignment of testing priorities to specific parts of the tested system. The paper also introduces a set of extraneous data accompanying the modeling language that are exploited by the proposed method during the classification process. It is shown, that advantages of the presented approach, such as lower requirements for the testing operators’ knowledge, are valuable for the automotive distributed systems testing process.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2017 IEEE 9th International Conference on Inteligent Data Acquisition and Advanced Computing Systems: Technology and Application (IDAACS)

ISBN

978-1-5386-0697-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

668-673

Název nakladatele

Ternopil National Economic University

Místo vydání

Ternopil

Místo konání akce

Bukurešť

Datum konání akce

21. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000425870400018