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Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments

Hauck, Michael Alexander

Abstract:
The execution environment can play a crucial role when analyzing the performance of a software system. However, detecting execution environment properties and integrating such properties into performance analyses is a manual, error-prone task. In this thesis, a novel approach for detecting performance-relevant properties of the software execution environment is presented. These properties are automatically detected using predefined experiments and integrated into performance prediction tools.

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Volltext §
DOI: 10.5445/IR/1000037767
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Hochschulschrift
Jahr 2013
Sprache Englisch
Identifikator urn:nbn:de:swb:90-377670
KITopen-ID: 1000037767
Verlag KIT, Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Programmstrukturen und Datenorganisation (IPD)
Prüfungsdaten 07.11.2013
Referent/Betreuer Prof. R. Reussner
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