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dc.contributor.authorFranco Bedoya, Óscar Hernán
dc.contributor.authorCostal Costa, Dolors
dc.contributor.authorHidalgo Hidalgo, Soraya
dc.contributor.authorBen-Jacob, Ron
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2015-05-05T10:00:14Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationFranco, O. [et al.]. Expert mining for evaluating risk indicators scenarios. A: IEEE International Workshop on Risk Management of OSS Components and Communities. "IEEE 38th Annual International Computers, Software and Applications Conference Workshops: 27–29 July 2014, Västerås, Sweden". Västerås: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 205-210.
dc.identifier.isbn978-1-4799-3578-9
dc.identifier.urihttp://hdl.handle.net/2117/27744
dc.description.abstractTo take maximum advantage of open source software (OSS), the understanding, management and mitigation of OSS adoption risks is crucial. The objective is to avoid the impact of potentially significant adverse events on the business. Bayesian networks allow the integration of open source community data and expert judgement in order to determine the value of risk indicators. The approach taken here is to ask domain experts to evaluate specific scenarios of OSS community data (or risk drivers) in terms of values of risk indicators. In this paper, we describe the structure of tactical workshops with the purpose of obtaining the domain expert evaluation. The results of this evaluation are used in the RISCOSS methodology to construct Bayesian networks that map data from community risk drivers into statistical distributions that are feeding a platform management dashboard. We describe the empirical application of the tactical workshops and the lessons learned from the workshops conducted so far.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshOpen source software
dc.subject.lcshSoftware engineering
dc.subject.otherOSS
dc.subject.otherRisks
dc.subject.otherBayesian networks
dc.subject.otherSocial network analysis
dc.subject.otherRisk indicators
dc.subject.otherExpert workshop
dc.subject.otherDriver
dc.subject.otherOSS adoption
dc.titleExpert mining for evaluating risk indicators scenarios
dc.typeConference report
dc.subject.lemacProgramari lliure
dc.subject.lemacEnginyeria del programari
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1109/COMPSACW.2014.38
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://dx.doi.org/10.1109/COMPSACW.2014.38
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac15573948
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorFranco, O.; Costal, D.; Hidalgo, S.; Ben-Jacob, R.
local.citation.contributorIEEE International Workshop on Risk Management of OSS Components and Communities
local.citation.pubplaceVästerås
local.citation.publicationNameIEEE 38th Annual International Computers, Software and Applications Conference Workshops: 27–29 July 2014, Västerås, Sweden
local.citation.startingPage205
local.citation.endingPage210


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