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QFLan: A tool for the quantitative analysis of highly reconfigurable systems

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Software product lines; probabilistic modeling; quantitative constraints; statistical model checking; formal methods
List of contributors:
TER BEEK, MAURICE HENRI
Authors of the University:
TER BEEK MAURICE HENRI
Handle:
https://iris.cnr.it/handle/20.500.14243/371311
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/371311/42630/prod_391584-doc_135323.pdf
Book title:
FM'18 - 22nd International Symposium on Formal Methods
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URL

https://link.springer.com/chapter/10.1007%2F978-3-319-95582-7_19
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