Reconstruction of software component architectures and behaviour models using static and dynamic analysis [Elektronische Ressource] / von Klaus Krogmann

Reconstruction ofSoftware Component Architecturesand Behaviour Modelsusing Static and Dynamic AnalysisZur Erlangung des akademischen Grades einesDoktors der Ingenieurwissenschaftenvon der Fakultät für Informatikdes Karlsruher Instituts für Technologie (KIT)DissertationvonKlaus Krogmannaus FriesoytheTag der mündl. Prüfung: 02.11.2010Erstgutachter: Prof. Dr. Ralf ReussnerZweitgutachter: Prof. Dr.-Ing. Gregor SneltingKIT – Universität des Landes Baden-Württemberg und nationales Forschungszentrum der Helmholtz-Gemeinschaftwww.kit.eduReconstruction ofSoftware Component Architecturesand Behaviour Modelsusing Static and Dynamic AnalysisPhD thesis to gain the degree of“Doktor der Ingenieurwissenschaften”at the Faculty of Computer Scienceof the Karlsruhe Institute of Technology (KIT)DissertationbyKlaus KrogmannFriesoytheDay of defense: 02.11.2010Referees: Prof. Dr. Ralf ReussnerProf. Dr.-Ing. Gregor SneltingKIT – University of the State of Baden-Wuerttemberg and National Laboratory of the Helmholtz Associationwww.kit.eduAbstractModel-Based Performance Prediction (MBPP, [BDIS04a]) is a software engineeringdiscipline which systematically deals with the evaluation of software performance.MBPP’s central idea is to predict the performance of a software system based onperformance models. MBPP can be applied at design-time to avoid bottlenecks whendesigning a software architecture but also for existing software systems.