Back to Search Start Over

An Experimental Evaluation of the Understanding of Safety Compliance Needs with Models

Authors :
Giovanni Giachetti
Jose Luis de la Vara
Clara Ayora
Beatriz Marín
Source :
Conceptual Modeling ISBN: 9783319699035, ER, e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname, Conceptual Modeling-36th International Conference, ER 2017, Lecture Notes in Computer Science, Lecture Notes in Computer Science-Conceptual Modeling
Publication Year :
2017
Publisher :
Springer International Publishing, 2017.

Abstract

Proceedings of: 36th International Conference on Conceptual Modeling, ER 2017, Valencia, Spain, November 6–9, 2017 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. The research leading to this paper has received funding from the AMASS project (H2020-ECSEL grant agreement no 692474; Spain’s MINECO ref. PCIN-2015-262) and the AMoDDI project (Ref. 11130583). We also thank the subjects that participated in the experiment.

Details

ISBN :
978-3-319-69903-5
978-3-319-69904-2
ISSN :
03029743 and 16113349
ISBNs :
9783319699035 and 9783319699042
Database :
OpenAIRE
Journal :
Conceptual Modeling ISBN: 9783319699035, ER, e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname, Conceptual Modeling-36th International Conference, ER 2017, Lecture Notes in Computer Science, Lecture Notes in Computer Science-Conceptual Modeling
Accession number :
edsair.doi.dedup.....4ba4292f68fd146f942aea31ae9d0cef
Full Text :
https://doi.org/10.1007/978-3-319-69904-2_20