dc.creator | Varela Vaca, Ángel Jesús | es |
dc.creator | Galindo Duarte, José Ángel | es |
dc.creator | Ramos Gutiérrez, Belén | es |
dc.creator | Gómez López, María Teresa | es |
dc.creator | Benavides Cuevas, David Felipe | es |
dc.date.accessioned | 2022-05-17T09:21:41Z | |
dc.date.available | 2022-05-17T09:21:41Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Varela Vaca, Á.J., Galindo Duarte, J.Á., Ramos Gutiérrez, B., Gómez López, M.T. y Benavides Cuevas, D.F. (2019). Process Mining to Unleash Variability Management: Discovering Configuration Workflows Using Logs. En SPL 2019: 23rd International Systems and Software Product Line Conference (265-276), Paris, France: Association for Computing Machinery (ACM). | |
dc.identifier.isbn | 978-1-4503-7138-4 | es |
dc.identifier.uri | https://hdl.handle.net/11441/133391 | |
dc.description.abstract | Variability models are used to build configurators. Configurators
are programs that guide users through the configuration process
to reach a desired configuration that fulfils user requirements. The
same variability model can be used to design different configura tors employing different techniques. One of the elements that can
change in a configurator is the configuration workflow, i.e., the
order and sequence in which the different configuration elements
are presented to the configuration stakeholders. When developing
a configurator, a challenge is to decide the configuration workflow
that better suites stakeholders according to previous configurations.
For example, when configuring a Linux distribution, the configura tion process start by choosing the network or the graphic card, and
then other packages with respect to a given sequence. In this paper,
we present COnfiguration workfLOw proceSS mIning (COLOSSI),
an automated technique that given a set of logs of previous configu rations and a variability model can automatically assist to determine
the configuration workflow that better fits the configuration logs
generated by user activities. The technique is based on process
discovery, commonly used in the process mining area, with an
adaptation to configuration contexts. Our proposal is validated us ing existing data from an ERP configuration environment showing
its feasibility. Furthermore, we open the door to new applications
of process mining techniques in different areas of software product
line engineering. | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología RTI2018-094283-B-C33 | es |
dc.format | application/pdf | es |
dc.format.extent | 12 | es |
dc.language.iso | eng | es |
dc.publisher | Association for Computing Machinery (ACM) | es |
dc.relation.ispartof | SPL 2019: 23rd International Systems and Software Product Line Conference (2019), pp. 265-276. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Variability | es |
dc.subject | Configuration workflow | es |
dc.subject | Process mining | es |
dc.subject | Process discovery | es |
dc.subject | Clustering | es |
dc.title | Process Mining to Unleash Variability Management: Discovering Configuration Workflows Using Logs | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | RTI2018-094283-B-C33 | es |
dc.relation.publisherversion | https://dl.acm.org/doi/10.1145/3336294.3336303 | es |
dc.identifier.doi | 10.1145/3336294.3336303 | es |
dc.publication.initialPage | 265 | es |
dc.publication.endPage | 276 | es |
dc.eventtitle | SPL 2019: 23rd International Systems and Software Product Line Conference | es |
dc.eventinstitution | Paris, France | es |
dc.relation.publicationplace | New York, USA | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |