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Evaluating the Impact of Combinatorial Interaction Testing on Test Automation: A Case Study from Industry

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00384431" target="_blank" >RIV/68407700:21230/25:00384431 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.1007/978-3-031-75201-8_7" target="_blank" >https://doi.org/10.1007/978-3-031-75201-8_7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-75201-8_7" target="_blank" >10.1007/978-3-031-75201-8_7</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Evaluating the Impact of Combinatorial Interaction Testing on Test Automation: A Case Study from Industry

  • Popis výsledku v původním jazyce

    Software testing regularly involves numerous setups and user inputs, leading to a combinatorial explosion of test cases. While Combinatorial Interaction Testing (CIT) has been theoretically investigated, its effectiveness in real-world scenarios remains unclear [1]. This research fills that gap by utilizing CIT in some live software projects. We led two studies: the first focuses on optimizing user input testing in jTrac, and the second focused on managing system configurations in Redmine, a comparative web application. We looked at CIT to customary testing strategies, breaking down components like test design time, test automation, test execution, suite size, and defect detection. The investigation gave valuable insights into enhancing CIT execution and reception. The results are promising. With CIT, the number of required test cases is significantly reduced, but at the same time, defect detection is improved. In the first study, the average time to detect a defect was 1.40 h (design, automation, execution, and evaluation) compared to 0.35 hwith CIT. Similar patterns emerged in the second study. These findings have important implications for both researchers and organizations. They highlight CIT's promise for software testing, including decreasing test case burden and perhaps improving defect detection rates. This study provides practical evidence for organizations and testers looking to improve their testing procedures.

  • Název v anglickém jazyce

    Evaluating the Impact of Combinatorial Interaction Testing on Test Automation: A Case Study from Industry

  • Popis výsledku anglicky

    Software testing regularly involves numerous setups and user inputs, leading to a combinatorial explosion of test cases. While Combinatorial Interaction Testing (CIT) has been theoretically investigated, its effectiveness in real-world scenarios remains unclear [1]. This research fills that gap by utilizing CIT in some live software projects. We led two studies: the first focuses on optimizing user input testing in jTrac, and the second focused on managing system configurations in Redmine, a comparative web application. We looked at CIT to customary testing strategies, breaking down components like test design time, test automation, test execution, suite size, and defect detection. The investigation gave valuable insights into enhancing CIT execution and reception. The results are promising. With CIT, the number of required test cases is significantly reduced, but at the same time, defect detection is improved. In the first study, the average time to detect a defect was 1.40 h (design, automation, execution, and evaluation) compared to 0.35 hwith CIT. Similar patterns emerged in the second study. These findings have important implications for both researchers and organizations. They highlight CIT's promise for software testing, including decreasing test case burden and perhaps improving defect detection rates. This study provides practical evidence for organizations and testers looking to improve their testing procedures.

Klasifikace

  • 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)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Communications in Computer and Information Science

  • ISBN

    978-3-031-75200-1

  • ISSN

    1865-0929

  • e-ISSN

    1865-0937

  • Počet stran výsledku

    15

  • Strana od-do

    85-99

  • Název nakladatele

    Springer

  • Místo vydání

    Wien

  • Místo konání akce

    San Diego

  • Datum konání akce

    21. 10. 2024

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    001441619700007