9786208429294 - Smart Risk Management in Software Requirements: A VUCA Perspective de Sadia, Halima; Faisal, Mohammad (8 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New. In.

Taschenbuch. Condición: 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.

Taschenbuch. Condición: 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.

Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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

Taschenbuch. Condición: 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch.