TY  - CONF
UR  - http://doi.acm.org/10.1145/2791060.2791087
A1  - ter Beek, M.H.
A1  - Legay, Axel
A1  - Lluch-Lafuente, Alberto
A1  - Vandin, Andrea
TI  - Statistical Analysis of Probabilistic Models of Software Product Lines with Quantitative Constraints
Y1  - 2015///
M2  - New York, USA
ID  - eprints3517
SP  - 11
SN  - 978-1-4503-3613-0
AV  - public
EP  - 15
PB  - ACM
T2  - Proceedings of the 19th International Conference on Software Product Line
CY  - New York, NY, USA
N2  - 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.
T3  - SPLC '15
ER  -