TesCaV: An Approach for Learning Model-Based Testing and Coverage in Practice

Beatriz Marín, Sofía Alarcón, Giovanni Giachetti, Monique Snoeck

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

Academy and industry permanently remark the importance of software-testing techniques to improve software quality and to reduce development and maintenance costs. A testing method to be considered for this purpose is Model-Based Testing (MBT), which generates test cases from a model that represents the structure and the behavior of the system to be developed. The generated test suite is easier to maintain and adapt to changes in requirements or evolution of the developed system. However, teaching and learning MBT techniques are not easy tasks; students need to know the different testing techniques to assure that the requirements are fulfilled as well as to identify any failure in the software system modeled. In this work, we present TesCaV, an MBT teaching tool for university students, which is based on a model-driven technology for the automatic software generation from UML diagrams. TesCaV allows validating the test cases defined by students and graphically determines the level of testing coverage over the system modeled. Preliminary results show TesCaV as a promising approach for MBT teaching/learning processes.

Idioma originalInglés
Título de la publicación alojadaResearch Challenges in Information Science - 14th International Conference, RCIS 2020, Proceedings
EditoresFabiano Dalpiaz, Jelena Zdravkovic, Pericles Loucopoulos
EditorialSpringer
Páginas302-317
Número de páginas16
ISBN (versión impresa)9783030503154
DOI
EstadoPublicada - 2020
Publicado de forma externa
Evento14th International Conference on Research Challenges in Information Sciences, RCIS 2020 - Limassol, Chipre
Duración: 23 sep 202025 sep 2020

Serie de la publicación

NombreLecture Notes in Business Information Processing
Volumen385 LNBIP
ISSN (versión impresa)1865-1348
ISSN (versión digital)1865-1356

Conferencia

Conferencia14th International Conference on Research Challenges in Information Sciences, RCIS 2020
País/TerritorioChipre
CiudadLimassol
Período23/09/2025/09/20

Áreas temáticas de ASJC Scopus

  • Sistemas de gestión de la información
  • Ingeniería de control y sistemas
  • Gestión internacional y de empresa
  • Sistemas de información
  • Modelización y simulación
  • Gestión y sistemas de información

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