Journal article · Preprint article · Conference paper
Quantitative Analysis of Probabilistic Models of Software Product Lines with Statistical Model Checking
National Research Council of Italy1
French National Institute for Computer Science and Applied Mathematics2
Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Language-Based Technology, Department of Applied Mathematics and Computer Science, Technical University of Denmark4
University of Southampton5
We investigate the suitability of statistical model checking techniques for analysing quantitative properties of software product line models with probabilistic aspects. For this purpose, we enrich the feature-oriented language FLAN with action rates, which specify the likelihood of exhibiting particular behaviour or of installing features at a specific moment or in a specific order.
The enriched language (called PFLAN) allows us to specify models of software product lines with probabilistic configurations and behaviour, e.g. by considering a PFLAN semantics based on discrete-time Markov chains. The Maude implementation of PFLAN is combined with the distributed statistical model checker MultiVeStA to perform quantitative analyses of a simple product line case study.
The presented analyses include the likelihood of certain behaviour of interest (e.g. product malfunctioning) and the expected average cost of products.
| Language: | English |
|---|---|
| Publisher: | Open Publishing Association |
| Year: | 2015 |
| Pages: | 56-70 |
| Proceedings: | 6th Workshop on Formal Methods and Analysis in SPL Engineering |
| ISSN: | 20752180 |
| Types: | Journal article , Preprint article and Conference paper |
| DOI: | 10.4204/eptcs.182.5 |
| ORCIDs: | Lluch Lafuente, Alberto |
