Deriving Goal-oriented Performance Models by Systematic Experimentation
Performance modelling can require substantial effort when creating and maintaining performance models for software systems that are based on existing software. Therefore, this thesis addresses the challenge of performance prediction in such scenarios. It proposes a novel goal-oriented method for exp...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2014
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/17651
- Acceso en línea:
- https://directory.doabooks.org/handle/20.500.12854/44775
http://hdl.handle.net/20.500.12010/17651
- Palabra clave:
- Performance Software
Análisis de sistemas
Ingeniería de software
Arquitectura de software
- Rights
- License
- Abierto (Texto Completo)
| Summary: | Performance modelling can require substantial effort when creating and maintaining performance models for software systems that are based on existing software. Therefore, this thesis addresses the challenge of performance prediction in such scenarios. It proposes a novel goal-oriented method for experimental, measurement-based performance modelling. We validated the approach in a number of case studies including standard industry benchmarks as well as a real development scenario at SAP. |
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