Sobes.tech
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We do not have a profiling tool for the application. What steps would you take to review the code?

sobes.tech AI

Answer from AI

  1. Logging: Adding logs with timestamps and important information about critical code sections.
    // Logging function execution time
    val startTime = System.currentTimeMillis()
    performComplexCalculation()
    val endTime = System.currentTimeMillis()
    Log.d("Performance", "Complex calculation took ${endTime - startTime} ms")
    
  2. System call System.currentTimeMillis(): Measuring execution time of individual functions or code blocks.
  3. Console output (println): A simple way to check code execution and variable values.
  4. Debugger: Step-by-step code execution, viewing variable values, setting breakpoints.
  5. Unit tests: Writing tests to verify the correctness of individual components, which can indirectly reveal performance issues in edge cases.
  6. Network inspector (if network is available): Checking network requests, their durations, and traffic.
  7. Source code analysis: Manual analysis of code for potentially "heavy" operations (infinite loops, redundant calls, blocking operations on the UI thread).
  8. Static code analyzer: Using tools (e.g., Lint in Android Studio) to identify potential problems and errors.
  9. Simplified scenarios: Running the app on an emulator with different configurations (weak processor, low RAM) to identify performance issues.
  10. Feedback collection: Gathering feedback from other developers or testers using the app on their devices.