🚀 System Development Methods
Overview
Structured Approaches to Plan,
Build, and Maintain Information
Systems
🧱 1. Waterfall Model
• - Sequential process: Each phase
(requirements, design, implementation,
testing, deployment) is completed before
moving to the next.
• - Best for: Projects with well-defined,
stable requirements.
• - Pros: Clear structure, thorough
documentation.
• - Cons: Inflexible to changes, late testing
phase.
🔁 2. Agile Methodology
• - Iterative and incremental: Development
happens in short cycles (sprints), with
frequent feedback and adjustments.
• - Best for: Projects with evolving
requirements or fast-changing
environments.
• - Pros: High adaptability, continuous
delivery, strong customer collaboration.
• - Cons: Requires active stakeholder
involvement, less predictability.
🌀 3. Spiral Model
• - Risk-driven: Combines iterative
development with risk analysis at each
cycle.
• - Best for: Large, complex projects with
high uncertainty.
• - Pros: Early risk detection, flexible design
updates.
• - Cons: Can be costly and complex to
manage.
🧪 4. V-Model (Verification &
Validation)
• - Extension of Waterfall: Each development
phase is paired with a corresponding testing
phase.
• - Best for: Projects needing strict quality
control.
• - Pros: Early bug detection, strong testing
focus.
• - Cons: Rigid structure, not ideal for frequent
changes.
⚡ 5. Rapid Application Development
(RAD)
• - Prototype-focused: Emphasizes quick
development and user feedback.
• - Best for: Projects needing fast delivery
and active user input.
• - Pros: Speedy development, user-centric.
• - Cons: Less scalable,Minimal
Documentation, requires skilled
developers.
🧩 6. Incremental Model
• - Modular delivery: System is built and
delivered in parts (increments).
• - Best for: Projects needing early
functionality and gradual expansion.
• - Pros: Early value delivery, easier testing.
• - Cons: Requires careful planning to
ensure cohesion.
🧠 7. DevOps Methodology
• - Integration of development and
operations: Focuses on automation,
continuous integration, and deployment.
• - Best for: Projects needing frequent
updates and high reliability.
• - Pros: Faster releases, improved
collaboration.
• - Cons: Requires cultural shift and tooling
investment.
