@inproceedings{eprints3492,
            year = {2015},
           title = {Quantitative Analysis of Probabilistic Models of SoftwareProduct Lines with Statistical Model Checking},
       booktitle = {Proceedings 6th Workshop on  Formal Methods and Analysis in SPL Engineering},
          author = {Maurice H. ter Beek and Axel Legay and Alberto Lluch Lafuente and Andrea Vandin},
           pages = {56--70},
             url = {http://eprints.imtlucca.it/3492/},
        abstract = {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}
}