Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes

dc.creator	Koziolek, Anne
dc.date.accessioned	2021-01-20T20:18:20Z
dc.date.available	2021-01-20T20:18:20Z
dc.date.created	2013
dc.description.abstractenglish	Quality attributes, such as performance or reliability, are crucial for the success of a software system and largely influenced by the software architecture. Their quantitative prediction supports systematic, goal-oriented software design and forms a base of an engineering approach to software design. This thesis proposes a method and tool to automatically improve component-based software architecture (CBA) models based on such quantitative quality prediction techniques.	spa
dc.format.extent	548 páginas	spa
dc.format.mimetype	application/pdf	spa
dc.identifier.doi	10.5445/KSP/1000032342
dc.identifier.isbn	978-3-866-44973-2
dc.identifier.issn	18670067
dc.identifier.other	https://www.ksp.kit.edu/9783866449732
dc.identifier.uri	https://hdl.handle.net/20.500.12010/16782
dc.language.iso	eng	spa
dc.publisher	KIT Scientific Publishing	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.creativecommons	https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
dc.rights.local	Abierto (Texto Completo)	spa
dc.subject	Ciencias de la computación	spa
dc.subject.lemb	Arquitectura de software	spa
dc.subject.lemb	Software sistemático	spa
dc.subject.lemb	Diseño de software	spa
dc.title	Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes	spa
dc.type.coar	http://purl.org/coar/resource_type/c_2f33	spa

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