Quantitative Analysis of Probabilistic Models of Software Product Lines with Statistical Model Checking

Maurice H. ter Beek, Axel Legay, Alberto Lluch Lafuente, Andrea Vandin

Research output: Contribution to journalConference articleResearchpeer-review

306 Downloads (Pure)

Abstract

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.
Original languageEnglish
JournalElectronic Proceedings in Theoretical Computer Science
Volume182
Pages (from-to)56-70
ISSN2075-2180
DOIs
Publication statusPublished - 2015
Event6th Workshop on Formal Methods and Analysis in SPL Engineering - London, United Kingdom
Duration: 11 Apr 2015 → …
Conference number: 6

Workshop

Workshop6th Workshop on Formal Methods and Analysis in SPL Engineering
Number6
CountryUnited Kingdom
CityLondon
Period11/04/2015 → …

Cite this