relation: http://eprints.imtlucca.it/3517/
title: Statistical Analysis of Probabilistic Models of Software Product Lines with Quantitative Constraints
creator: ter Beek, M.H.
creator: Legay, Axel
creator: Lluch-Lafuente, Alberto
creator: Vandin, Andrea
subject: QA75 Electronic computers. Computer science
description: We investigate the suitability of statistical model checking for the analysis of probabilistic models of software product lines with complex quantitative constraints and advanced feature installation options. Such models are specified in the feature-oriented language QFLan, a rich process algebra whose operational behaviour interacts with a store of constraints, neatly separating product configuration from product behaviour. The resulting probabilistic configurations and behaviour converge seamlessly in a semantics based on DTMCs, thus enabling quantitative analyses ranging from the likelihood of certain behaviour to the expected average cost of products. This is supported by a Maude implementation of QFLan, integrated with the SMT solver Z3 and the distributed statistical model checker MultiVeStA. Our approach is illustrated with a bikes product line case study.
publisher: ACM
date: 2015
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
rights: cc_by_nc
identifier: http://eprints.imtlucca.it/3517/1/splc15-TR.pdf
identifier:   ter Beek, M.H. and Legay, Axel and Lluch-Lafuente, Alberto and Vandin, Andrea  Statistical Analysis of Probabilistic Models of Software Product Lines with Quantitative Constraints.  In: Proceedings of the 19th International Conference on Software Product Line, 2015, New York, USA pp. 11-15.  ISBN 978-1-4503-3613-0.      (2015)  
relation: http://doi.acm.org/10.1145/2791060.2791087