Maintenance & Tech Debt
1. **Stage 1: Fundamentals (Weight: 1)** * Maintenance Types and Software Evolution Laws. 2. **Stage 2: Quantification (Weight: 2)** * Tech Debt Me...
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Segments: MTD Mechanics
Segment 1: Software Evolution & Maintenance
- Lehman’s Laws of Software Evolution
- Maintenance Types: Corrective, Adaptive, Perfective, Preventive
- The Software Aging Process
Segment 2: Technical Debt Fundamentals
- The Ward Cunningham Metaphor
- Debt Types: Deliberate vs. Inadvertent
- Interest, Principal, and the Cost of Delay
Segment 3: Tech Debt Quantification
- Static Analysis and Complexity Metrics
- SQALE Method and Technical Debt Ratio
- Impact Analysis on Velocity and Quality
Segment 4: Legacy System Modernization
- Strategies: Rewrite, Re-architect, Encapsulate
- The Strangler Fig Pattern
- Migration Risk Management
Segment 5: Refactoring Mechanics
- Code Smells and Antipatterns
- Boy Scout Rule & Continuous Refactoring
- Automated Refactoring Tools and Techniques
Segment segmental 6: Testing in Maintenance
- Retaining Invariants during Restoration
- Characterization Testing (Golden Master)
- Regression Suite Optimization
Segment 7: Maintenance Management
- Managing Stakeholder Expectations
- Balancing Feature Work vs. Debt Repayment
- Documentation Recovery and Knowledge Transfer
Segment 8: Advanced Evolution
- Evolutionary Architecture Dynamics
- Fitness Functions for Structural Integrity
- System Archeology and Impact Mapping
Segment 9: Case Studies
- Decomposing Monolithic Enterprise Systems
- Refactoring High-Scale Legacy Platforms
- Modernizing Mission-Critical Real-time Systems
Learning Map: Evolution Progression
- Stage 1: Fundamentals (Weight: 1)
- Maintenance Types and Software Evolution Laws.
- Stage 2: Quantification (Weight: 2)
- Tech Debt Metrics and Impact Assessment.
- Stage 3: Strategy (Weight: 3)
- Modernization Patterns (Strangler Fig).
- Stage 4: Tactics (Weight: 4)
- Refactoring Mechanics and Testing Invariants.
- Stage 5: Optimization (Weight: 5)
- Evolutionary Architecture and Long-term Health.
In-Scope / Out-of-Scope
- In-Scope: Evolution theory, debt metrics, refactoring patterns, and modernization strategies.
- Out-of-Scope: Pure DevOps automation (Pillar 05), new system architecture (Pillar 03).
Technical Pointers
- Pillar SE (09-03): Design patterns for extensibility.
- Pillar SRE (07-05): Reliability constraints during migration.