On the Feasibility of Integrating Data Mining Algorithms into Self Adaptive Systems for Context Awareness and Requirements Evolution

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dc.contributor.authorRook, Angela
dc.contributor.supervisorDamian, Daniela
dc.date.accessioned2014-08-20T22:45:53Z
dc.date.available2014-08-20T22:45:53Z
dc.date.copyright2014en_US
dc.date.issued2014-08-20
dc.degree.departmentDepartment of Computer Science
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractContext is important to today's mobile and ubiquitous systems as operational requirements are only valid under certain context conditions. Detecting context and adapting automatically to that context is a key feature of many of these systems. However, when the operational context associated with a particular requirement changes drastically in a way that designers could not have anticipated, many systems are unable to effectively adapt their operating parameters to continue meeting user needs. Automatically detecting and implementing this system context evolution is highly desirable because it allows for increased uncertainty to be built into the system at design time in order to efficiently and effectively cope with these kinds of drastic changes. This thesis is an empirical investigation and discussion towards integrating data mining algorithms into self-adaptive systems to analyze and de fine new context relevant to specific system requirements when current system context parameters are no longer sufficient.en_US
dc.description.proquestcode0984en_US
dc.description.proquestemailarook@uvic.caen_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/5580
dc.languageEnglisheng
dc.language.isoenen_US
dc.rights.tempAvailable to the World Wide Weben_US
dc.subjectcontext evolutionen_US
dc.subjectrequirements engineeringen_US
dc.subjectcontextual requirementsen_US
dc.subjectconcept driften_US
dc.subjectself adaptive systemsen_US
dc.subjectdata miningen_US
dc.titleOn the Feasibility of Integrating Data Mining Algorithms into Self Adaptive Systems for Context Awareness and Requirements Evolutionen_US
dc.typeThesisen_US

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