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

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Knowledge Reusinges
dc.contributor.authorVara González, José Luis de la
dc.contributor.authorMarín, Beatriz
dc.contributor.authorGiachetti, Giovanni
dc.contributor.authorAyora, Clara
dc.date.accessioned2017-03-24T13:36:41Z
dc.date.accessioned2017-03-24T14:22:32Z
dc.date.available2017-03-24T14:22:32Z
dc.date.issued2016-09-08
dc.description.abstractContext. 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.en
dc.description.sponsorshipEuropean Commissionen
dc.description.sponsorshipThe 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).en
dc.format.mimetypetext/xml
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationVara 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. 32:1-32:6en
dc.identifier.doihttps://doi.org/10.1145/2961111.2962621
dc.identifier.isbn978-1-4503-4427-2
dc.identifier.publicationfirstpage32:1
dc.identifier.publicationlastpage32:6
dc.identifier.publicationtitleESEM 2016. Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurementen
dc.identifier.urihttps://hdl.handle.net/10016/24438
dc.identifier.uxxiCC/0000025677
dc.language.isoeng
dc.publisherACMen
dc.relation.eventdate2016-09-08
dc.relation.eventplaceCiudad Reales
dc.relation.eventtitle10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2016en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/692474/EU/AMASS
dc.relation.projectIDGobierno de España. PCIN-2015-262/AMASS
dc.rights© ACM, 2016
dc.rightsThis is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.en
dc.rights.accessRightsopen access
dc.subject.ecienciaInformáticaes
dc.subject.otherSafety-critical systemen
dc.subject.otherSafety standarden
dc.subject.otherSafety compliance needsen
dc.subject.otherModelen
dc.subject.otherUnderstandingen
dc.subject.otherPilot experimenten
dc.titleDo Models Improve the Understanding of Safety Compliance Needs?: Insights from a Pilot Experimenten
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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