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dc.contributor.authorZolda, Michael
dc.contributor.authorKirner, Raimund
dc.contributor.editorKaiser, Hans K.
dc.contributor.editorKirner, Raimund
dc.date.accessioned2013-04-30T07:40:03Z
dc.date.available2013-04-30T07:40:03Z
dc.date.issued2008-11-01
dc.identifier.citationZolda , M & Kirner , R 2008 , Divide and Measure : CFG Segmentation for the Measurement-Based Analysis of Resource Consumption . in H K Kaiser & R Kirner (eds) , Procs of the Junior Scientist Conference 2008 . Technische Universität Wien , Vienna, Austria , pp. 117-118 .
dc.identifier.isbn978-3-200-01612-5
dc.identifier.otherBibtex: urn:198cf04919fbd1e7250c671f22198c37
dc.identifier.urihttp://hdl.handle.net/2299/10602
dc.description.abstractA computer system is a good computer system if it correctly performs the task it was intended to perform. This is not even half of the truth: Non-functional requirements are abundant in the world of software and system engineering, even if they are not always stated explicitly. In our work we are concerned with the measurement-based analysis of resource consumption. Examples of resources are time, energy, or memory space. In the context of our measurement-based approach for software analysis, we face the problem of breaking the software under examination into smaller parts of managable size, a process dubbed CFG Segmentation.en
dc.format.extent2
dc.format.extent183065
dc.language.isoeng
dc.publisherTechnische Universität Wien
dc.relation.ispartofProcs of the Junior Scientist Conference 2008
dc.titleDivide and Measure : CFG Segmentation for the Measurement-Based Analysis of Resource Consumptionen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Future Societies Research
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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