%A Maurice H. ter Beek
%A Axel Legay
%A Alberto Lluch Lafuente
%A Andrea Vandin
%D 2015
%L eprints3492
%X 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
%B Proceedings 6th Workshop on  Formal Methods and Analysis in SPL Engineering
%C London, UK
%R 10.4204/EPTCS.182.5
%T Quantitative Analysis of Probabilistic Models of SoftwareProduct Lines with Statistical Model Checking
%P 56-70