Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments
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.
| Zugehörige Institution(en) am KIT | Institut für Programmstrukturen und Datenorganisation (IPD) |
| Publikationstyp | Hochschulschrift |
| Jahr | 2013 |
| Sprache | Englisch |
| Identifikator | URN: urn:nbn:de:swb:90-377670 KITopen-ID: 1000037767 |
| Verlag | Karlsruhe |
| Abschlussart | Dissertation |
| Fakultät | Fakultät für Informatik (INFORMATIK) |
| Institut | Institut für Programmstrukturen und Datenorganisation (IPD) |
| Prüfungsdaten | 07.11.2013 |
| Referent/Betreuer | Prof. R. Reussner |
| Relationen in KITopen |