RT Conference Proceedings
T1 Generating Effective Test Suites for Model Transformations Using Classifying Terms
A1 Vallecillo-Moreno, Antonio Jesús
A1 Hilken, Frank
A1 Burgueño-Caballero, Lola
A1 Gogolla, Martin
K1 Soporte lógico
K1 Ingeniería del software
AB Generating sample models for testing a model transformation is no easy task. This paper explores the use of classifying terms and stratified sampling for developing richer test cases for model transformations. Classifying terms are used to define the equivalence classes that characterize the relevant subgroups for the test cases. From each equivalence class of object models, several representative models are chosen depending on the required sample size. We compare ourresults with test suites developed using random sampling, and conclude that by using an ordered and stratified approach the coverage and effectiveness of the test suite can be significantly improved.
YR 2016
FD 2016-09-27
LK http://hdl.handle.net/10630/12090
UL http://hdl.handle.net/10630/12090
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026