Feature-based Variability Modelling in Software Evolution - Alkubaisi, Sumaya;Ghoul, Said
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This book proposes a bio-inspired methodology guiding the software features modelling process, which starting from a software requirements model produces a feature-based software design model supporting variability as well as evolution aspects. So, this methodology extends the traditional feature model concepts with evolution ones. It builds an extended feature model from the traditional one. A combination of two formalisms notations is used in the specification of the extended feature model. The EBNF notations were used for defining the structure of the model whereas the algebraic notations were used for defining its properties.…mehr

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Produktbeschreibung
This book proposes a bio-inspired methodology guiding the software features modelling process, which starting from a software requirements model produces a feature-based software design model supporting variability as well as evolution aspects. So, this methodology extends the traditional feature model concepts with evolution ones. It builds an extended feature model from the traditional one. A combination of two formalisms notations is used in the specification of the extended feature model. The EBNF notations were used for defining the structure of the model whereas the algebraic notations were used for defining its properties.
Autorenporträt
Sumaya Alkubaisi is a Computer Science M.Sc and Research Assistant at the Research Laboratory in Bio-inspired Systems Modelling, Philadelphia University, Jordan. Said Ghoul is Professor Dr. of Computer Science and Chair of the above Research Laboratory. Bio-inspired software aspects modelling constitutes his main research interest.