An experimental evaluation of the understanding of safety compliance needs with models

Jose Luis De La Vara, Beatriz Marín, Clara Ayora, Giovanni Giachetti

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

Context: Most safety-critical systems have to fulfil compliance needs specified in safety standards. These needs can be difficult to understand from the text of the standards, and the use of conceptual models has been proposed as a solution. Goal: We aim to evaluate the understanding of safety compliance needs with models. Method: We have conducted an experiment to study the effectiveness, efficiency, and perceived benefits in understanding these needs, with text of safety standards and with UML object diagrams. Results: Sixteen Bachelor students participated in the experiment. Their average effectiveness in understanding compliance needs and their average efficiency were higher with models (17% and 15%, respectively). However, the difference is not statistically significant. The students found benefits in using models, but on average they are undecided about their ease of understanding. Conclusions: Although the results are not conclusive enough, they suggest that the use of models could improve the understanding of safety compliance needs.

Idioma originalInglés
Título de la publicación alojadaConceptual Modeling - 36th International Conference, ER 2017, Proceedings
EditoresOscar Pastor, Heinrich C. Mayr, Giancarlo Guizzardi, Hui Ma
EditorialSpringer Verlag
Páginas239-247
Número de páginas9
ISBN (versión impresa)9783319699035
DOI
EstadoPublicada - 2017
Publicado de forma externa
Evento36th International Conference on Conceptual Modeling, ER 2017 - Valencia, Espana
Duración: 6 nov. 20179 nov. 2017

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10650 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia36th International Conference on Conceptual Modeling, ER 2017
País/TerritorioEspana
CiudadValencia
Período6/11/179/11/17

Áreas temáticas de ASJC Scopus

  • Ciencia computacional teórica
  • Ciencia de la Computación General

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