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Algorithm for Generation of Complex Test Data for Interface-based Regression Testing of Software Components

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43961895" target="_blank" >RIV/49777513:23520/21:43961895 - isvavai.cz</a>

  • Result on the web

    <a href="https://dl.acm.org/doi/pdf/10.1145/3412841.3442118" target="_blank" >https://dl.acm.org/doi/pdf/10.1145/3412841.3442118</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3412841.3442118" target="_blank" >10.1145/3412841.3442118</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Algorithm for Generation of Complex Test Data for Interface-based Regression Testing of Software Components

  • Original language description

    This paper describes the Complex Object Generation (COG) algorithm, a semi-automated algorithm for generating of complex instances for Java and similar languages. The algorithm is designed for black-box testing. So, it is assumed that the tested application source code is not at the disposal. The algorithm was developed and tested as a stand-alone algorithm in our Interface Analysis Tool (InAnT), but we plan to use it to generate the parameter values of generated method invocations. The generation of the method invocations is a vital part of our interface-based regression testing of software components.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    SAC &apos;21: Proceedings of the 36th Annual ACM Symposium on Applied Computing

  • ISBN

    978-1-4503-8104-8

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    105-108

  • Publisher name

    ACM

  • Place of publication

  • Event location

    Virtuální událost, Jižní Korea

  • Event date

    Mar 22, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article