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Dealing with uncertainty in contextual requirements at runtime: A proof of concept
dc.contributor | Franch Gutiérrez, Javier |
dc.contributor | Marco Gómez, Jordi |
dc.contributor.author | Zavala Rodríguez, Edith Berenice |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació |
dc.date.accessioned | 2015-10-15T12:10:05Z |
dc.date.available | 2015-10-15T12:10:05Z |
dc.date.issued | 2015-07-07 |
dc.identifier.uri | http://hdl.handle.net/2117/77761 |
dc.description.abstract | This work presents SACRE, a proof-of-concept implementation of an existing approach, ACon. ACon uses a feedback loop to detect contextual requirements affected by uncertainty and data mining techniques to determine the best operationalization of contexts on top of sensed data. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Self-adaptive software |
dc.subject.other | self-adaptive systems |
dc.subject.other | contextual requirements |
dc.subject.other | data mining |
dc.subject.other | smart vehicles |
dc.subject.other | drowsy drivers |
dc.title | Dealing with uncertainty in contextual requirements at runtime: A proof of concept |
dc.type | Master thesis |
dc.subject.lemac | Programari autoadaptable |
dc.identifier.slug | 109541 |
dc.rights.access | Open Access |
dc.date.updated | 2015-07-09T04:00:35Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012) |