Evolving Rules for Action Selection in Automated Testing via Genetic Programming: A First Approach

Anna I. Esparcia-Alcazar*, Francisco Almenar, Urko Rueda, Tanja E.J. Vos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Original languageEnglish
Title of host publicationApplications of Evolutionary Computation
Subtitle of host publication20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II
EditorsGiovanni Squillero, Kevin Sim
PublisherSpringer International Publishing AG
Pages82-95
Number of pages14
ISBN (Electronic)9783319557922
ISBN (Print)9783319557915
DOIs
Publication statusPublished - 2017

Publication series

SeriesLecture Notes in Computer Science
NumberLNCS 10199-10200

Cite this

Esparcia-Alcazar, A. I., Almenar, F., Rueda, U., & Vos, T. E. J. (2017). Evolving Rules for Action Selection in Automated Testing via Genetic Programming: A First Approach. In G. Squillero, & K. Sim (Eds.), Applications of Evolutionary Computation: 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II (pp. 82-95). Springer International Publishing AG. Lecture Notes in Computer Science, No. LNCS 10199-10200 https://doi.org/10.1007/978-3-319-55792-2_6