scholarly journals Multi-objective Test Case Selection Through Linkage Learning-Based Crossover

2021 ◽  
pp. 87-102
Author(s):  
Mitchell Olsthoorn ◽  
Annibale Panichella
2020 ◽  
Author(s):  
Luciano Soares De Souza

The software testing process can be very expensive and it is important to find ways in order to reduce its costs. Test case selection techniques can be used in order to reduce the amount of tests to execute and this way reducing the costs. Search algorithms are very promising approach to deal with the test case selection problem. This work proposes new hybrid algorithms for multiobjective test case selection by adding local search mechanisms into the NSGAII algorithm. The results showed that some of the mechanisms were capable of improve the NSGA-II algorithm.


Author(s):  
Takfarinas Saber ◽  
Florian Delavernhe ◽  
Mike Papadakis ◽  
Michael Oneill ◽  
Anthony Ventresque

2015 ◽  
Vol 41 (4) ◽  
pp. 358-383 ◽  
Author(s):  
Annibale Panichella ◽  
Rocco Oliveto ◽  
Massimiliano Di Penta ◽  
Andrea De Lucia

Sign in / Sign up

Export Citation Format

Share Document