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dc.contributor.authorArrieta, Aitor
dc.contributor.otherHan, Liping
dc.contributor.otherAli, Shaukat
dc.contributor.otherYue, Tao
dc.contributor.otherArratibel, Maite
dc.date.accessioned2023-01-13T10:34:18Z
dc.date.available2023-01-13T10:34:18Z
dc.date.issued2022
dc.identifier.issn1557-7392en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=170555en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5948
dc.description.abstractIndustrial elevator systems are commonly used software systems in our daily lives, which operate in uncertain environments such as unpredictable passenger traffic, uncertain passenger attributes and behaviors, and hardware delays. Understanding and assessing the robustness of such systems under various uncertainties enable system designers to reason about uncertainties, especially those leading to low system robustness, and consequently improve their designs and implementations in terms of handling uncertainties. To this end, we present a comprehensive empirical study conducted with industrial elevator systems provided by our industrial partner Orona, which focuses on assessing the robustness of a dispatcher, i.e., a software component responsible for elevators’ optimal scheduling. In total, we studied 90 industrial dispatchers in our empirical study. Based on the experience gained from the study, we derived an uncertainty-aware robustness assessment method (named UncerRobua) comprising a set of guidelines on how to conduct the robustness assessment and a newly proposed ranking algorithm, for supporting the robustness assessment of industrial elevator systems against uncertainties.es
dc.description.sponsorshipComisión Europeaes
dc.description.sponsorshipGobierno Vasco-Eusko Jaurlaritzaes
dc.language.isoengen
dc.publisherACMen
dc.rights© 2022 Association for Computing Machineryen
dc.subjectUncertainty-awareen
dc.subjectRobustness Assessmenten
dc.subjectEmpirical Studyen
dc.titleUncertainty-aware Robustness Assessment of Industrial Elevator Systemsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceACM Transactions on Software Engineering and Methodologyen
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1145/3576041en
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/871319/EU/Design-Operation Continuum Methods for Testing and Deployment under Unforeseen Conditions for Cyber-Physical Systems of Systems/ADEPTNESSen
local.relation.projectIDinfo:eu-repo/grantAgreement/GV/Ikertalde Convocatoria 2022-2023/IT1519-22/CAPV/Ingeniería de Software y Sistemas/en
local.contributor.otherinstitutionhttps://ror.org/01scyh794es
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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