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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781450344272
DOIs
Publication statusPublished - 8 Sept 2016
Event10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016 - Ciudad Real, Spain
Duration: 8 Sept 20169 Sept 2016

Publication series

NameInternational Symposium on Empirical Software Engineering and Measurement
Volume08-09-September-2016
ISSN (Print)1949-3770
ISSN (Electronic)1949-3789

Other

Other10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016
Country/TerritorySpain
CityCiudad Real
Period8/09/169/09/16

Keywords

  • Safety-critical system
  • model
  • pilot experiment
  • safety compliance needs
  • safety standard
  • understanding

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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