Isbn: 9783330022942 - service selection effort estimation for soa applications using scts (6 risultati)

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      3330022949 / 9783330022942

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      Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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      Paperback. Condizione: Brand New. 112 pages. 8.66x5.91x0.26 inches. In Stock.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      3330022949 / 9783330022942

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      Taschenbuch. Condizione: Neu. Service Selection Effort Estimation for SOA Applications using SCTs | Zeeshan Ali Siddiqui (u. a.) | Taschenbuch | 112 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330022942 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Jul 2017, 2017

      3330022949 / 9783330022942

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The objective of this research work is to propose a direction for solving the problem of service selection effort (SSE) estimation in service-oriented architecture based applications. For this, significant parameters are identified that affect the SSE by critically examining the existing literature. After that, parameter relation is established with SSE. That is, whether they are beneficial or non-beneficial parameters. Finally, an algorithm is developed powered by information entropy weigh fuzzy comprehensive evaluation model wherein the synthesis performance of each candidate service is evaluated to select the most preferred service. Practicability and feasibility of the proposed approach are demonstrated with the help of three empirical studies. 112 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      3330022949 / 9783330022942

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali Siddiqui ZeeshanZeeshan Ali Siddiqui is a research scholar at Ajay Kumar Garg Engineering College, Ghaziabad, Department of Computer Science & Engineering. His research interests include component based software systems and servi.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Jul 2017, 2017

      3330022949 / 9783330022942

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The objective of this research work is to propose a direction for solving the problem of service selection effort (SSE) estimation in service-oriented architecture based applications. For this, significant parameters are identified that affect the SSE by critically examining the existing literature. After that, parameter relation is established with SSE. That is, whether they are beneficial or non-beneficial parameters. Finally, an algorithm is developed powered by information entropy weigh fuzzy comprehensive evaluation model wherein the synthesis performance of each candidate service is evaluated to select the most preferred service. Practicability and feasibility of the proposed approach are demonstrated with the help of three empirical studies.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      3330022949 / 9783330022942

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of this research work is to propose a direction for solving the problem of service selection effort (SSE) estimation in service-oriented architecture based applications. For this, significant parameters are identified that affect the SSE by critically examining the existing literature. After that, parameter relation is established with SSE. That is, whether they are beneficial or non-beneficial parameters. Finally, an algorithm is developed powered by information entropy weigh fuzzy comprehensive evaluation model wherein the synthesis performance of each candidate service is evaluated to select the most preferred service. Practicability and feasibility of the proposed approach are demonstrated with the help of three empirical studies.