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Framework for Integration Testing of IoT Solutions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00324434" target="_blank" >RIV/68407700:21230/17:00324434 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CSCI.2017.335" target="_blank" >http://dx.doi.org/10.1109/CSCI.2017.335</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CSCI.2017.335" target="_blank" >10.1109/CSCI.2017.335</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Framework for Integration Testing of IoT Solutions

  • Original language description

    The Internet of Things (IoT) technology raises specific demands to testing and quality assurance in a number of areas, as security, privacy, reliability, interoperability or integration. In the paper, we focus on the interoperability and integration issues. We present a concept of specialized testing framework, which is based on a hybrid of IoT infrastructure simulation and integration testing approach. The aim of the framework is to decrease IoT testing costs together with increasing of test coverage and potential of the tests to detect relevant defects in the IoT solution.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

    <a href="/en/project/TH02010296" target="_blank" >TH02010296: Quality Assurance System for Internet of Things Technology</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • 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 2017 International Conference on Computational Science and Computational Intelligence CSCI 2017

  • ISBN

    978-1-5386-2652-8

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    1838-1839

  • Publisher name

    Conference publishing Services

  • Place of publication

    Los Alamitos

  • Event location

    Las Vegas

  • Event date

    Dec 14, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000455029500335