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Computer Science
Software Engineering
Technical Debt Management
1. Introduction to Technical Debt
2. Types of Technical Debt
3. Identifying Technical Debt
4. Measuring and Quantifying Technical Debt
5. Prioritizing Technical Debt Repayment
6. Management and Repayment Strategies
7. Tools for Technical Debt Management
8. Integrating Debt Management into the Development Lifecycle
9. Fostering a Culture of Quality
10. Advanced Topics in Technical Debt Management
10.
Advanced Topics in Technical Debt Management
10.1.
Technical Debt in Distributed Systems
10.1.1.
Microservices Debt Patterns
10.1.2.
Service Boundary Issues
10.1.3.
Data Consistency Challenges
10.1.4.
Inter-service Communication Debt
10.2.
Technical Debt and Security
10.2.1.
Security Debt Assessment
10.2.2.
Vulnerability Management
10.2.3.
Compliance Requirements
10.2.4.
Risk-based Prioritization
10.3.
Technical Debt in Legacy Systems
10.3.1.
Legacy System Assessment
10.3.2.
Modernization Strategies
10.3.3.
Migration Planning
10.3.4.
Risk Mitigation
10.4.
Scaling Debt Management
10.4.1.
Enterprise-level Debt Management
10.4.2.
Multi-team Coordination
10.4.3.
Standardization Across Teams
10.4.4.
Governance Models
10.5.
Technical Debt Economics
10.5.1.
Financial Modeling
10.5.2.
Investment Strategies
10.5.3.
Portfolio Management
10.5.4.
Economic Impact Analysis
10.6.
Machine Learning and AI in Debt Management
10.6.1.
Automated Debt Detection
10.6.2.
Predictive Analytics
10.6.3.
Intelligent Prioritization
10.6.4.
Pattern Recognition
10.7.
Technical Debt Research and Future Trends
10.7.1.
Academic Research
10.7.2.
Industry Trends
10.7.3.
Emerging Tools and Techniques
10.7.4.
Future Challenges
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9. Fostering a Culture of Quality
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1. Introduction to Technical Debt