Parameter dependencies for reusable performance specifications of software components
Abstract
To avoid design-related performance problems, model-driven performance prediction methods analyse the response times, throughputs, and resource utilizations of software architectures before and during implementation. This thesis proposes new modeling languages and according model transformations, which allow a reusable description of usage profile dependencies to the performance of software components. Predictions based on this new methods can support performance-related design decisions.
Keywords
Performance Engineering; Simulation; Software Component; Model-driven Software Development; Software ArchitectureISBN
9783866442726Publisher
KIT Scientific PublishingPublisher website
http://www.ksp.kit.edu/Publication date and place
2008Series
The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner,Classification
Computer science