QFLan: A Tool for the Quantitative Analysis of Highly Reconfigurable Systems

EasyChair Preprint 364

Abstract

QFLan offers modeling and analysis of highly reconfigurable systems, like product lines, which are characterized by combinatorially many system variants (or products) that can be obtained via different combinations of installed features. The tool offers a modern integrated development environment for the homonym probabilistic feature-oriented language. QFLan allows the specification of a family of products in terms of a feature model with quantitative attributes, which defines the valid feature combinations, and probabilistic behavior subject to quantitative constraints. The language's behavioral part enables dynamic installation, removal and replacement of features. QFLan has a discrete-time Markov chain semantics, permitting quantitative analyses. Thanks to a seamless integration with the statistical model checker MultiVeStA, it allows for analyses like the likelihood of specific behavior or the expected average value of non-functional aspects related to feature attributes.

Keyphrases: Integrated Development Environment, Software Product Lines, quantitative analysis, statistical model checking, tool paper

@booklet{EasyChair:364,
  author    = {Andrea Vandin and Maurice H. ter Beek and Axel Legay and Alberto Lluch Lafuente},
  title     = {QFLan: A Tool for the Quantitative Analysis of Highly Reconfigurable Systems},
  doi       = {10.29007/1mjd},
  howpublished = {EasyChair Preprint 364},
  year      = {EasyChair, 2018}}