relation: http://eprints.imtlucca.it/2592/
title: Family-based performance analysis of variant-rich software systems
creator: Kowal, Matthias
creator: Schaefer, Ina
creator: Tribastone, Mirco
subject: QA75 Electronic computers. Computer science
description: We study models of software systems with variants that stem from a specific choice of configuration parameters with a direct impact on performance properties. Using UML activity diagrams with quantitative annotations, we model such systems as a product line. The efficiency of a product-based evaluation is typically low because each product must be analyzed in isolation, making difficult the re-use of computations across variants. Here, we propose a family-based approach based on symbolic computation. A numerical assessment on large activity diagrams shows that this approach can be up to three orders of magnitude faster than product-based analysis in large models, thus enabling computationally efficient explorations of large parameter spaces.
publisher: Springer
date: 2014
type: Book Section
type: PeerReviewed
identifier:   Kowal, Matthias and Schaefer, Ina and Tribastone, Mirco  Family-based performance analysis of variant-rich software systems.   In:  Fundamental Approaches to Software Engineering.   Lecture Notes in Computer Science  (8411).  Springer, pp. 94-108.  ISBN 978-3-642-54804-8      (2014)  
relation: http://dx.doi.org/10.1007/978-3-642-54804-8_7
relation: 10.1007/978-3-642-54804-8_7