scholarly journals Enhanced Adaptive Random Test Case Prioritization for Model-based Test Suites

2020 ◽  
Vol 17 (7) ◽  
pp. 125-144
Author(s):  
Tomas Pospisil ◽  
Jan Sobotka ◽  
Jiri Novak
Keyword(s):  
Test Case ◽  
Test Case Prioritization ◽  
Random Test ◽  
Model Based ◽  
Test Suites

scholarly journals Test case prioritization techniques for model-based testing: a replicated study

2018 ◽  
Vol 26 (4) ◽  
pp. 1451-1482 ◽  
Author(s):  
João Felipe S. Ouriques ◽  
Emanuela G. Cartaxo ◽  
Patrícia D. L. Machado
Keyword(s):  
Test Case ◽  
Test Case Prioritization ◽  
Model Based ◽  
Model Based Testing

scholarly journals Model based Test Case Prioritization

2017 ◽  
Vol 171 (7) ◽  
pp. 10-14
Author(s):  
Swati B. ◽  
Rutuja Rajput
Keyword(s):  
Test Case ◽  
Test Case Prioritization ◽  
Model Based

Model-based Test Case Prioritization

2018 ◽  
Vol 6 (10) ◽  
pp. 373-381
Author(s):  
S.S. Basa ◽  
S.K. Swain ◽  
D.P. Mohapatra
Keyword(s):  
Test Case ◽  
Test Case Prioritization ◽  
Model Based

A Model-Based Test Case Prioritization Approach Based on Fault Urgency and Severity

2020 ◽  
Vol 30 (02) ◽  
pp. 263-290
Author(s):  
Dan Wei ◽  
Qingying Sun ◽  
Xingqi Wang ◽  
Tianning Zhang ◽  
Bin Chen
Keyword(s):  
Flight Control ◽  
Unified Modeling Language ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Software Faults ◽  
Model Based ◽  
Fault Severity ◽  
Uml Sequence Diagram ◽  
The Cost

With the aggrandizement scale of software system, the number of test cases has grown explosively. Test case prioritization (TCP) has been widely used in software testing to effectively improve testing efficiency. However, traditional TCP methods are mostly based on software code and they are difficult to apply to model-based testing. Moreover, existing model-based TCP techniques often do not take the likely distribution of faults into consideration, yet software faults are not often equally distributed in the system, and test cases that cover more fault prone modules are more likely to reveal faults so that they should be run with a higher priority. Therefore, in this paper, we provide a TCP approach based on Hidden Markov Model (HMM), to detect faults as earlier as possible and reduce the cost of modification. This approach consists of the following main parts: (1) transforming the Unified Modeling Language (UML) sequence diagram to HMM; (2) estimating the fault urgency according to fault priority and probability; (3) estimating the fault severity by analyzing the weight of the state in the HMM; (4) generating test case priority from fault urgency and fault severity, then prioritizing test case. The proposed approach is implemented on unmanned aerial vehicles (UAV) flight control system to perform TCP. The experimental results show that our proposed TCP approach can effectively enhance the probability of earlier fault detection and improve the efficiency and stability as compared to other prioritization techniques, such as original prioritization, random prioritization, additional prioritization and EPS-UML.

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