Evaluating Model-Based Testing in an Industrial Project: An Experience Report


Model-based testing (MBT) is an approach that automates the design and generation of test cases based on a model that represents the system under test. MBT can reduce the cost of software testing and improve the quality of systems in the industry. The goal of this study is to evaluate the use of MBT in an industrial project with the purpose of analyzing its efficiency, efficacy and acceptance by software engineers. A case study was conducted where six software engineers modeled one module of a system, and then generated and executed the test cases using an MBT tool. Our results show that participants were able to model at least four functional requirements each, in a period of 20 to 60 min, reaching a code coverage between 39% and 59% of the system module. We discussed relevant findings about the completeness of the models and common mistakes made during the modeling and concretization phases. Regarding the acceptance of MBT by participants, our results suggest that while they saw value in the MBT approach, they were not satisfied with the tool used (MISTA), because it did not support key industry needs.

Tipo de publicación: Conference Paper

Publicado en: Advances in Intelligent Systems and Computing

  • Rebeca Obando Vásquez
  • Christian Quesada-López
  • Alexandra Martinez

Investigadores del CITIC asociados a la publicación
Dr. Christian Quesada-López
Dra. Alexandra Martínez Porras

Proyecto asociado a la publicación
Evaluación de herramientas automatizadas para pruebas de software basadas en modelos


Datos bibliográficos
Cita bibliográfica
Evaluating Model-Based Testing in an Industrial Project: An Experience Report