TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Dissimilarity with Dice-Jaro-Winkler Test Case Prioritization Approach for ModelBased Testing in Software Product Line |
| 영문제목(English Title) |
A Dissimilarity with Dice-Jaro-Winkler Test Case Prioritization Approach for ModelBased Testing in Software Product Line |
| 저자(Author) |
R. Aduni Sulaiman
Dayang N. A. Jawawi
Shahliza Abdul Halim
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| 원문수록처(Citation) |
VOL 15 NO. 03 PP. 0932 ~ 0951 (2021. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
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 DiceJaro-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.
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| 키워드(Keyword) |
Model-based Testing
Software Product Line
Software Testing
Test Case Prioritization
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| 파일첨부 |
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