Configurable Software Performance Completions through Higher-Order Model Transformations

Chillies is a novel approach for variable model transformations closing the gap between abstract architecture models, used for performance prediction, and required low-level details. We enable variability of transformations using chain of generators based on the Higher-Order Transformation (HOT). HO...

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Autores:
Tipo de recurso:
Book
Fecha de publicación:
2019
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16742
Acceso en línea:
https://www.ksp.kit.edu/9783866449909
http://hdl.handle.net/20.500.12010/16742
Palabra clave:
Informática
Software
Transformaciones de modelos
Rendimiento de software
Rights
License
Abierto (Texto Completo)
Description
Summary:Chillies is a novel approach for variable model transformations closing the gap between abstract architecture models, used for performance prediction, and required low-level details. We enable variability of transformations using chain of generators based on the Higher-Order Transformation (HOT). HOTs target different goals, such as template instantiation or transformation composition. In addition, we discuss state-dependent behavior in prediction models and quality of model transformations.