Optimization and Debugging Techniques for Code
2024-10-14 18:47:46 159 0 Report 0
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This mind map serves as a comprehensive guide to 'Optimization and Debugging Techniques for Code.' It delves into essential strategies for enhancing code performance and reliability. The map covers fundamentals such as performance analysis using tools like Visual Studio Profiler and Chrome DevTools, and identifies bottlenecks like CPU-intensive tasks and memory leaks. It also explores code refactoring, algorithm optimization, and data structure optimization. On the debugging front, it details breakpoint and log debugging, error handling, and unit testing. Additionally, it addresses practical performance tuning for web applications, mobile apps, and big data processing, emphasizing efficiency and reliability.
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Outline/Content
Fundamentals of Code Optimization
Performance Analysis
Using performance analysis tools
Visual Studio Profiler
Chrome DevTools
Performance bottleneck identification
CPU-intensive task optimization
Memory leak detection
Code refactoring
Remove duplicate code
Using function encapsulation
Apply design patterns
Optimize data structure
Choose the appropriate data structure
Reduce unnecessary data duplication
Algorithm optimization
Time complexity reduction
Divide and conquer approach
Dynamic programming optimization
Space complexity optimization
In-place algorithm design
Memory Allocation Strategy
Debugging Strategies and Techniques
Breakpoint debugging
Set valid breakpoint
Condition Breakpoint
Exception breakpoint
Step execution and observe variables
Enter the function
Step function
Log debugging
Log level classification
DEBUG/INFO/WARN/ERROR
Log content design
Key variable recording
Exception stack trace
Error and exception handling
Error code mechanism
Custom Error Code
Centralized management of error codes
Exception catching and handling
try-catch block usage
Exception chain propagation
Unit Test
Test case design
Boundary condition testing
Abnormal path test
Test framework selection
JUnit
pytest
Code review
Consistency in coding style
Naming Convention
Code Formatting
Logic correctness verification
Code logic review
Boundary condition check
Performance Tuning in Practice
Web application optimization
Front-end optimization
Image compression and lazy loading
Code Splitting and On-demand Loading
Back-end optimization
Database query optimization
Application of cache mechanism
Mobile App Optimization
Startup Speed Optimization
Reduce initialization code
Asynchronously load non-critical resources
Memory management optimization
Memory leak detection and repair
Object Reuse and Recovery Strategy
Optimization of Big Data Processing
parallel processing
Multi-threading/Multi-processing
Distributed computing
Data Compression and Coding
Data compression algorithm
Efficient coding format selection
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