Feature Based Variability Modelling Software by Alkubaisi Sumaya (9 results)

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330000104 / 9783330000100

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330000104 / 9783330000100

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    Paperback. Condition: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330000104 / 9783330000100

    • Softcover

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    Taschenbuch. Condition: Neu. Feature-based Variability Modelling in Software Evolution | Sumaya Alkubaisi (u. a.) | Taschenbuch | 80 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330000100 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Language: English

    Published by LAP LAMBERT Academic Publishing Nov 2016, 2016

    3330000104 / 9783330000100

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 80 pp. Englisch.

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330000104 / 9783330000100

    • Softcover
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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330000104 / 9783330000100

    • Softcover
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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330000104 / 9783330000100

    • Softcover
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    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alkubaisi SumayaSumaya 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 Cha.

  • Language: English

    Published by LAP LAMBERT Academic Publishing Nov 2016, 2016

    3330000104 / 9783330000100

    • Softcover
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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2016

    3330000104 / 9783330000100

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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.