Optimization and Debugging Techniques for Code
2024-10-14 18:47:46 0 Report
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Outline/Content
Visual Studio Profiler
Chrome DevTools
Using performance analysis tools
CPU-intensive task optimization
Memory leak detection
Performance bottleneck identification
Performance Analysis
Using function encapsulation
Apply design patterns
Remove duplicate code
Choose the appropriate data structure
Reduce unnecessary data duplication
Optimize data structure
Code refactoring
Divide and conquer approach
Dynamic programming optimization
Time complexity reduction
In-place algorithm design
Memory Allocation Strategy
Space complexity optimization
Algorithm optimization
Fundamentals of Code Optimization
Condition Breakpoint
Exception breakpoint
Set valid breakpoint
Enter the function
Step function
Step execution and observe variables
Breakpoint debugging
DEBUG/INFO/WARN/ERROR
Log level classification
Key variable recording
Exception stack trace
Log content design
Log debugging
Custom Error Code
Centralized management of error codes
Error code mechanism
try-catch block usage
Exception chain propagation
Exception catching and handling
Error and exception handling
Boundary condition testing
Abnormal path test
Test case design
JUnit
pytest
Test framework selection
Unit Test
Naming Convention
Code Formatting
Consistency in coding style
Code logic review
Boundary condition check
Logic correctness verification
Code review
Debugging Strategies and Techniques
Image compression and lazy loading
Code Splitting and On-demand Loading
Front-end optimization
Database query optimization
Application of cache mechanism
Back-end optimization
Web application optimization
Reduce initialization code
Asynchronously load non-critical resources
Startup Speed Optimization
Memory leak detection and repair
Object Reuse and Recovery Strategy
Memory management optimization
Mobile App Optimization
Multi-threading/Multi-processing
Distributed computing
parallel processing
Data compression algorithm
Efficient coding format selection
Data Compression and Coding
Optimization of Big Data Processing
Performance Tuning in Practice
Optimization and Debugging Techniques for Code
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