TY  - CONF
SP  - 56
N2  - 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
A1  - ter Beek, Maurice H.
A1  - Legay, Axel
A1  - Lluch Lafuente, Alberto
A1  - Vandin, Andrea
M2  - London, UK
SN  - 2075-2180
UR  - http://arxiv.org/html/1504.03014v1
AV  - public
TI  - Quantitative Analysis of Probabilistic Models of SoftwareProduct Lines with Statistical Model Checking
Y1  - 2015///
T2  - 6th Workshop on Formal Methods and Analysis in SPL Engineering
EP  - 70
ID  - eprints3492
ER  -