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The chapter provides a detailed examination of Software Development Life Cycle (SDLC) models, emphasizing their structured approach to software project management. It discusses the importance of universally intrinsic phases, such as requirements engineering, design, implementation, testing, deployment, and maintenance based on varying project contexts. The chapter also highlights the evolution from chaotic coding practices to structured methods, aiming to achieve predictability, risk management, stakeholder satisfaction, and quality assurance in software development processes.
8.2.5
The Iterative Waterfall Model (Waterfall With Feedback Loops/phased Development)
The Iterative Waterfall Model improves upon the classical Waterfall approach by introducing feedback loops and phased development, allowing for minor adjustments and clarifications throughout the software development process.
9
Lecture 9: Waterfall Derivatives And Hybrid Models (Advanced Discussion)
This lecture explores the advancements and adaptations of the classical Waterfall model, including the V-Model, Sashimi Model, and hybrid models like RUP, aimed at enhancing validation and customer engagement in software development.
10.2.6
Comparative Analysis: Incremental Vs. Classical Waterfall (Key Differentiators)
This section provides a thorough comparison between the Incremental and Classical Waterfall SDLC models, highlighting their fundamental differences in delivery mechanisms, change management, risk handling, customer involvement, and overall visibility.
References
Untitled document (10).pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Software Development Life Cycle (SDLC)
Definition: A structured framework that outlines the phases of developing, deploying, and maintaining software.
Term: Requirements Engineering
Definition: The process of gathering, analyzing, specifying, and validating system requirements.
Term: Iterative Model
Definition: A software development model where the software is developed through repeated cycles, allowing for continual refinement.
Term: VModel
Definition: A development model that emphasizes verification and validation processes alongside development phases.