relation: http://eprints.imtlucca.it/3492/
title: Quantitative Analysis of Probabilistic Models of SoftwareProduct Lines with Statistical Model Checking
creator: ter Beek, Maurice 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 techniques for analysing quantitative prop-erties of software product line models with probabilistic aspects.  For this purpose, we enrich thefeature-oriented language FLANwith action rates, which specify the likelihood of exhibiting par-ticular behaviour or of installing features at a specific moment or in a specific order.  The enrichedlanguage  (called  PFLAN)  allows  us  to  specify  models  of  software  product  lines  with  probabilis-tic  configurations  and  behaviour,  e.g.  by  considering  a  PFLANsemantics  based  on  discrete-timeMarkov chains.  The Maude implementation of PFLANis combined with the distributed statisticalmodel checker MultiVeStA to perform quantitative analyses of a simple product line case study. Thepresented analyses include the likelihood of certain behaviour of interest (e.g. product malfunction-ing) and the expected average cost of products
date: 2015
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
rights: cc_by_nc
identifier: http://eprints.imtlucca.it/3492/1/FMSPLE%20%281%29.pdf
identifier:   ter Beek, Maurice H. and Legay, Axel and Lluch Lafuente, Alberto and Vandin, Andrea  Quantitative Analysis of Probabilistic Models of SoftwareProduct Lines with Statistical Model Checking.  In: 6th Workshop on Formal Methods and Analysis in SPL Engineering, April 11, 2015, London, UK pp. 56-70. ISSN 2075-2180.       (2015)  
relation: http://arxiv.org/html/1504.03014v1
relation: 10.4204/EPTCS.182.5