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Smart Risk Management Software by Sadia Halima (9 results)

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2025

    6208429293 / 9786208429294

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    Seller: California Books, Miami, FL, U.S.A.California Books

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2025

    6208429293 / 9786208429294

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    Language: English

    Published by LAP LAMBERT Academic Publishing, 2025

    6208429293 / 9786208429294

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    Taschenbuch. Condition: Neu. Smart Risk Management in Software Requirements: A VUCA Perspective | Halima Sadia (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208429294 | 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, 2025

    6208429293 / 9786208429294

    • Softcover
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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2025

    6208429293 / 9786208429294

    • Softcover
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    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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  • Language: English

    Published by LAP LAMBERT Academic Publishing Feb 2025, 2025

    6208429293 / 9786208429294

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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 -Information technology permeates every aspect of human life, with the software industry being a pivotal component. However, software projects often fail due to inadequate requirement engineering. Requirements form the backbone of software products, and a well-crafted software requirement specification (SRS) is critical for success. The initial phase of software development involves requirement elicitation and documentation, where potential risks must be analyzed early to minimize negative impacts. Key requirement risks include volatility, uncertainty, complexity, and ambiguity (VUCA), significantly affecting project success.This book proposes an Intelligent Framework for Managing VUCA in Software Requirement Risks, addressing these risks simultaneously in the early development stages. The framework includes models for Volatile Requirement Prioritization, Requirement Ambiguity and Uncertainty Management (RAUMM), and a Bayesian Network for Complexity Prediction. Using AHP and TOPSIS, the framework prioritizes effective solutions. 100 pp. Englisch. …

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2025

    6208429293 / 9786208429294

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2025

    6208429293 / 9786208429294

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by LAP LAMBERT Academic Publishing Feb 2025, 2025

    6208429293 / 9786208429294

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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 -Information technology permeates every aspect of human life, with the software industry being a pivotal component. However, software projects often fail due to inadequate requirement engineering. Requirements form the backbone of software products, and a well-crafted software requirement specification (SRS) is critical for success. The initial phase of software development involves requirement elicitation and documentation, where potential risks must be analyzed early to minimize negative impacts. Key requirement risks include volatility, uncertainty, complexity, and ambiguity (VUCA), significantly affecting project success.This book proposes an Intelligent Framework for Managing VUCA in Software Requirement Risks, addressing these risks simultaneously in the early development stages. The framework includes models for Volatile Requirement Prioritization, Requirement Ambiguity and Uncertainty Management (RAUMM), and a Bayesian Network for Complexity Prediction. Using AHP and TOPSIS, the framework prioritizes effective solutions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. …