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A Dissimilarity with Dice-Jaro-Winkler Test Case Prioritization Approach for Model-Based Testing in Software Product Line

Sulaiman, R. Aduni ; Jawawi, Dayang N.A ; Halim, Shahliza Abdul

KSII transactions on Internet and information systems, 2021-03, Vol.15 (3), p.932-951 [Periódico revisado por pares]

한국인터넷정보학회

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  • Título:
    A Dissimilarity with Dice-Jaro-Winkler Test Case Prioritization Approach for Model-Based Testing in Software Product Line
  • Autor: Sulaiman, R. Aduni ; Jawawi, Dayang N.A ; Halim, Shahliza Abdul
  • Assuntos: Model-based Testing ; Software Product Line ; Software Testing ; Test Case Prioritization
  • É parte de: KSII transactions on Internet and information systems, 2021-03, Vol.15 (3), p.932-951
  • Notas: Korean Society for Internet Information
    KISTI1.1003/JNL.JAKO202116739333187
  • Descrição: The effectiveness of testing in Model-based Testing (MBT) for Software Product Line (SPL) can be achieved by considering fault detection in test case. The lack of fault consideration caused test case in test suite to be listed randomly. Test Case Prioritization (TCP) is one of regression techniques that is adaptively capable to detect faults as early as possible by reordering test cases based on fault detection rate. However, there is a lack of studies that measured faults in MBT for SPL. This paper proposes a Test Case Prioritization (TCP) approach based on dissimilarity and string based distance called Last Minimal for Local Maximal Distance (LM-LMD) with Dice-Jaro-Winkler Dissimilarity. LM-LMD with Dice-Jaro-Winkler Dissimilarity adopts Local Maximum Distance as the prioritization algorithm and Dice-Jaro-Winkler similarity measure to evaluate distance among test cases. This work is based on the test case generated from statechart in Software Product Line (SPL) domain context. Our results are promising as LM-LMD with Dice-Jaro-Winkler Dissimilarity outperformed the original Local Maximum Distance, Global Maximum Distance and Enhanced All-yes Configuration algorithm in terms of Average Fault Detection Rate (APFD) and average prioritization time.
  • Editor: 한국인터넷정보학회
  • Idioma: Coreano
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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