Do Models Improve the Understanding of Safety Compliance Needs? Insights from a Pilot Experiment

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

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

7 Citas (Scopus)

Resumen

Context. Many critical systems must meet safety compliance needs from safety standards. These standards are usually large textual documents whose compliance needs can be hard to understand. As a solution, the use of models has been proposed. Goal. We aim to provide evidence of the extent to which models improve the understanding of safety compliance needs. Method. We designed an experiment and ran a pilot to study the effectiveness, efficiency, and perceived benefits of understanding these needs, with the text of standards and with models in the form of UML object diagrams. Results. The overall results from 15 Bachelor students show that the effectiveness of understanding safety compliance needs increases very little with models (2%), and the efficiency even decreases (24%). Nonetheless, the results improve when the potential complexity in navigating the models is taken into account (15% effectiveness increase). The students find benefits in using the models but most consider that the models are hard to understand. Conclusions. The extent to which models improve the understanding of safety compliance needs seems to be lower than what the research community expects. New studies are necessary to confirm our initial insights.

Idioma originalInglés
Título de la publicación alojada10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016
EditorialIEEE Computer Society
ISBN (versión digital)9781450344272
DOI
EstadoPublicada - 8 sep 2016
Evento10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016 - Ciudad Real, Espana
Duración: 8 sep 20169 sep 2016

Serie de la publicación

NombreInternational Symposium on Empirical Software Engineering and Measurement
Volumen08-09-September-2016
ISSN (versión impresa)1949-3770
ISSN (versión digital)1949-3789

Otros

Otros10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016
País/TerritorioEspana
CiudadCiudad Real
Período8/09/169/09/16

Áreas temáticas de ASJC Scopus

  • Informática aplicada
  • Software

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