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Code-aware combinatorial interaction testing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00336231" target="_blank" >RIV/68407700:21230/19:00336231 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1049/iet-sen.2018.5315" target="_blank" >https://doi.org/10.1049/iet-sen.2018.5315</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1049/iet-sen.2018.5315" target="_blank" >10.1049/iet-sen.2018.5315</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Code-aware combinatorial interaction testing

  • Original language description

    Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. CIT has been used as a systematic technique to sample the enormous test possibilities. Most of the research activities focused on the generation of CIT test suites as a computationally complex problem. Less effort has been paid for the application of CIT. To apply CIT, practitioners must identify the input parameters for the Software-under-test (SUT), feed these parameters to the CIT test generation tool, and then run those tests on the application with some pass and fail criteria for verification. Using this approach, CIT is used as a black-box testing technique without knowing the effect of the internal code. Although useful, practically, not all the parameters having the same impact on the SUT. This paper introduces a different approach to use the CIT as a gray-box testing technique by considering the internal code structure of the SUT to know the impact of each input parameter and thus use this impact in the test generation stage. The case studies results showed that this approach would help to detect new faults as compared to the equal impact parameter approach.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IET Software

  • ISSN

    1751-8806

  • e-ISSN

    1751-8814

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    600-609

  • UT code for WoS article

    000499993300011

  • EID of the result in the Scopus database

    2-s2.0-85075821665