eprintid: 2592
rev_number: 6
eprint_status: archive
userid: 6
dir: disk0/00/00/25/92
datestamp: 2015-02-10 15:06:34
lastmod: 2015-02-10 15:06:34
status_changed: 2015-02-10 15:06:34
type: book_section
metadata_visibility: show
creators_name: Kowal, Matthias
creators_name: Schaefer, Ina
creators_name: Tribastone, Mirco
creators_id: 
creators_id: 
creators_id: mirco.tribastone@imtlucca.it
title: Family-based performance analysis of variant-rich software systems
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
note: 17th International Conference, FASE 2014, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2014, Grenoble, France, April 5-13, 2014, Proceedings
abstract: 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.
date: 2014
date_type: published
series: Lecture Notes in Computer Science
number: 8411
publisher: Springer
pagerange: 94-108
id_number: 10.1007/978-3-642-54804-8_7
refereed: TRUE
isbn: 978-3-642-54804-8
book_title: Fundamental Approaches to Software Engineering
official_url: http://dx.doi.org/10.1007/978-3-642-54804-8_7
citation:   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)