Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments
The software execution environment can play a crucial role when analyzing the performance of a software system. In this book, a novel approach for the automated detection of performance-relevant properties of the execution environment is presented. The properties are detected using predefined experi...
| Format: | eBook |
|---|---|
| Language: | English |
| Published: |
KIT Scientific Publishing
2014
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| Series: | The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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| 020 | |a 9783731501381 | ||
| 020 | |a KSP/1000037233 | ||
| 024 | 7 | |a 10.5445/KSP/1000037233 |2 doi | |
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| 720 | 1 | |a Hauck, Michael |4 aut | |
| 245 | 0 | 0 | |a Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
| 260 | |b KIT Scientific Publishing |c 2014 | ||
| 300 | |a 1 online resource (XVI, 315 p. p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner | |
| 506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
| 520 | |a The software execution environment can play a crucial role when analyzing the performance of a software system. In this book, a novel approach for the automated detection of performance-relevant properties of the execution environment is presented. The properties are detected using predefined experiments and integrated into performance prediction tools. The approach is applied to experiments for detecting different CPU, OS, and virtualization properties, and validated in different case studies. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |u https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 653 | |a Execution Environment | ||
| 653 | |a Experiments | ||
| 653 | |a Measurements | ||
| 653 | |a Metamodel | ||
| 653 | |a Software Performance Prediction | ||
| 793 | 0 | |a DOAB Library. | |
| 856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/41638 |7 0 |z Open Access: DOAB: description of the publication |
| 856 | 4 | 0 | |u https://www.ksp.kit.edu/9783731501381 |7 0 |z Open Access: DOAB, download the publication |