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Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool

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Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool

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Esparcia Alcázar, AI.; Almenar-Pedrós, F.; Vos, TE.; Rueda Molina, U. (2018). Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool. Memetic Computing. 10(3):257-265. https://doi.org/10.1007/s12293-018-0263-8

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Title: Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool
Author: Esparcia Alcázar, Anna Isabel Almenar-Pedrós, Francisco Vos, Tanja Ernestina Rueda Molina, Urko
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Traversal-based automated software testing involves testing an application via its graphical user interface (GUI) and thereby taking the user's point of view and executing actions in a human-like manner. These actions ...[+]
Subjects: Automated software testing via the GUI , Genetic programming , Action selection for testing , Testing metrics
Copyrigths: Reserva de todos los derechos
Source:
Memetic Computing. (issn: 1865-9284 )
DOI: 10.1007/s12293-018-0263-8
Publisher:
Springer-Verlag
Publisher version: http://doi.org/10.1007/s12293-018-0263-8
Type: Artículo

References

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