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.

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