scholarly journals A Global Algorithm for Model-Based Test Suite Generation

2007 ◽  
Vol 190 (2) ◽  
pp. 47-59 ◽  
Author(s):  
Anders Hessel ◽  
Paul Pettersson
Keyword(s):  
Test Suite ◽  
Model Based ◽  
Test Suite Generation ◽  
Global Algorithm

scholarly journals Efficient increasing of the mutation score during model-based test suite generation

2020 ◽  
pp. 331-340
Author(s):  
A. Kolchin ◽  
◽  
S. Potiyenko ◽  
T. Weigert ◽  
◽  
...  
Keyword(s):  
Test Suite ◽  
Observable Effect ◽  
Test Set ◽  
Efficient Search ◽  
Strong Case ◽  
Model Based ◽  
Mutation Score ◽  
Test Suite Generation ◽  
Test Scenarios

The purpose of the method is to increase the sensitivity of an automatically generated test suite to mutations of a model. Unlike existing methods for generating test scenarios that use the mutational approach to assess the resulting test set, the proposed method analyzes the possibility of detecting mutations on the fly, in the process of analyzing the model’s behavior space, by adding of special coverage goals. Two types of mutants manifestation are considered: deviations in the behavior of paths for (weak case) and in the observed output (strong case). A new algorithm is proposed for efficient search of a path with observable effect of a mutation.

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