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CNR ExploRA
Part of book or chapter of book . 2016
Data sources: CNR ExploRA
https://doi.org/10.1201/b20053...
Part of book or chapter of book . 2016 . Peer-reviewed
Data sources: Crossref
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Refinement of Behavioural Models for Variability Description

Authors: FANTECHI, ALESSANDRO; GNESI, STEFANIA;

Refinement of Behavioural Models for Variability Description

Abstract

In Product Lines Engineering many studies are focused on the research of the best behavioural model useful to describe a product family and to reason about properties of the family itself. In addition the model must allow to describe in a simple way different types of variability, needed to characterize several products of the family. Modal Transition System (MTS) is one of the more relevant behavioural model that has been broadly studied in literature and several extensions have been also described to more finely address behavioural variability. Furthermore MTS and its extensions define a concept of refinement which represents a step of design process, namely a step where some allowed requirements are discarded and other ones become necessary. In this chapter we present a bunch of variants of the classic MTS definition with the associated refinement definitions and a discussion on their expressive power.

Country
Italy
Keywords

Model checking, Temporal logic, Refinement, Behavioural Variability models, Modal Transition Systems, Formal Methods

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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