QFLan: A tool for the quantitative analysis of highly reconfigurable systems
Contributo in Atti di convegno
Data di Pubblicazione:
2018
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Software product lines; probabilistic modeling; quantitative constraints; statistical model checking; formal methods
Elenco autori:
TER BEEK, MAURICE HENRI
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Link al Full Text:
Titolo del libro:
FM'18 - 22nd International Symposium on Formal Methods