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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
Types of Technical Debt
The Technical Debt Quadrant
Reckless and Deliberate
Cutting Corners Knowingly
Ignoring Best Practices for Speed
Conscious Quality Compromises
Prudent and Deliberate
Conscious Trade-offs for Business Value
Documented and Planned Repayment
Strategic Technical Decisions
Reckless and Inadvertent
Lack of Awareness of Consequences
Unintentional Violations of Standards
Skill or Knowledge Gaps
Prudent and Inadvertent
Unforeseen Consequences of Well-intentioned Decisions
Discovery of Debt Post-Implementation
Learning from Experience
Categorization by Domain
Code Debt
Non-adherence to Coding Standards
Inconsistent Naming Conventions
Formatting Issues
Style Guide Violations
Duplicated Code
Copy-Paste Programming
Violation of DRY Principle
Similar Logic in Multiple Places
Complex Conditionals and Methods
Long Methods
Deeply Nested Logic
High Cyclomatic Complexity
Dead Code
Unused Functions or Classes
Obsolete Features
Commented-out Code
Insufficient or Outdated Comments
Lack of Code Documentation
Misleading or Incorrect Comments
Missing Context Explanations
Poor Error Handling
Missing Exception Handling
Generic Error Messages
Inadequate Logging
Design and Architectural Debt
Tight Coupling
Interdependent Modules
Difficulty in Isolating Changes
Circular Dependencies
Low Cohesion
Unrelated Responsibilities in Modules
Poor Separation of Concerns
Mixed Abstraction Levels
Violations of Design Principles
Ignoring SOLID Principles
Anti-patterns in Architecture
Inappropriate Design Patterns
Monolithic Architecture Issues
Lack of Modularity
Scalability Challenges
Deployment Complexity
Inappropriate or Outdated Patterns
Use of Deprecated Technologies
Legacy Design Choices
Misapplied Patterns
Data Architecture Issues
Denormalized Databases
Inconsistent Data Models
Poor Schema Design
Test Debt
Lack of Unit Tests
Unverified Code Paths
Increased Risk of Regression
Missing Edge Case Coverage
Insufficient Test Coverage
Gaps in Test Suites
Untested Edge Cases
Low Coverage Percentages
Brittle or Slow Tests
Flaky Test Results
Long Test Execution Times
Environment-dependent Tests
Lack of Integration or End-to-End Tests
Missing System-Level Validation
Incomplete User Journey Testing
API Contract Gaps
Test Code Quality Issues
Duplicated Test Code
Hard-to-Maintain Test Fixtures
Unclear Test Intentions
Documentation Debt
Missing or Outdated Documentation
Absent API References
Unmaintained User Guides
Incomplete Technical Specifications
Inaccurate Diagrams
Out-of-date Architecture Diagrams
Misleading Flowcharts
Inconsistent Visual Representations
Lack of Onboarding Guides
Insufficient Developer Onboarding Materials
Missing Setup Instructions
Absent Troubleshooting Guides
Process Documentation Gaps
Undocumented Workflows
Missing Deployment Procedures
Absent Decision Records
Infrastructure and Operations Debt
Manual Deployment Processes
Lack of Automation
Error-prone Releases
Inconsistent Deployments
Lack of Monitoring or Alerting
Inability to Detect Failures
No Performance Metrics
Missing Business Metrics
Outdated Dependencies and Libraries
Security Vulnerabilities
Compatibility Issues
End-of-Life Components
Inconsistent Environments
Differences Between Development, Staging, and Production
Environment-specific Bugs
Configuration Drift
Security Debt
Unpatched Vulnerabilities
Weak Authentication Mechanisms
Insufficient Access Controls
Process and Organizational Debt
Inadequate Development Processes
Missing Code Review Standards
Inconsistent Branching Strategies
Lack of Definition of Done
Communication Gaps
Siloed Teams
Missing Knowledge Transfer
Inadequate Stakeholder Alignment
Skill and Knowledge Debt
Team Capability Gaps
Lack of Domain Expertise
Insufficient Training Programs
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1. Introduction to Technical Debt
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3. Identifying Technical Debt