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

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dc.contributor.author Vara González, José Luis de la
dc.contributor.author Marín, Beatriz
dc.contributor.author Giachetti, Giovanni
dc.contributor.author Ayora, Clara
dc.date.accessioned 2017-03-24T13:36:41Z
dc.date.accessioned 2017-03-24T14:22:32Z
dc.date.available 2017-03-24T14:22:32Z
dc.date.issued 2016-09-08
dc.identifier.bibliographicCitation Vara González, Jose Luis de la; Marín, Beatriz; Giachetti, Giovanni; Ayora, Clara (2016). Do Models Improve the Understanding of Safety Compliance Needs?: Insights from a Pilot Experiment. ESEM 2016. Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. ACM. Pp. 32:1-32:6
dc.identifier.isbn 978-1-4503-4427-2
dc.identifier.uri http://hdl.handle.net/10016/24438
dc.description.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.
dc.description.sponsorship European Commission
dc.description.sponsorship 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).
dc.format.mimetype text/xml
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACM
dc.rights © ACM, 2016
dc.rights This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
dc.subject.other Safety-critical system
dc.subject.other Safety standard
dc.subject.other Safety compliance needs
dc.subject.other Model
dc.subject.other Understanding
dc.subject.other Pilot experiment
dc.title Do Models Improve the Understanding of Safety Compliance Needs?: Insights from a Pilot Experiment
dc.type conferenceObject
dc.type bookPart
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1145/2961111.2962621
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/692474/EU/AMASS
dc.relation.projectID Gobierno de España. PCIN-2015-262/AMASS
dc.type.version acceptedVersion
dc.relation.eventdate 2016-09-08
dc.relation.eventplace Ciudad Real
dc.relation.eventtitle 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016
dc.identifier.publicationfirstpage 32:1
dc.identifier.publicationlastpage 32:6
dc.identifier.publicationtitle ESEM 2016. Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
dc.identifier.uxxi CC/0000025677
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