FG

Why does Windows Progress Bar always give such horrible estimates?

Freshabout 21 hours ago
Mar 15, 20262128 views
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Problem

Possible Duplicate: Windows File Copy Dialog: Why is the Estimation So… BAD? I realized this "bug" a long time ago, since Windows 95/98, but it still continues until today, on Windows Seven. Today I was compressing a 1GB folder with the Windows zip(it is not a exclusive event from compression proce…

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1 Fix

Canonical Fix
Unverified Fix
New Fix – Awaiting Verification

Improve Windows Progress Bar Estimation Accuracy

Medium Risk

The Windows progress bar estimation is often inaccurate due to its reliance on a linear model for tasks that are inherently non-linear. Factors such as varying file sizes, disk speed, and system resource availability can cause the estimation algorithm to miscalculate the remaining time. Additionally, the algorithm may not account for overheads in file system operations, leading to discrepancies in the displayed progress.

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  1. 1

    Optimize File Copy Algorithm

    Modify the file copy algorithm to use a more adaptive estimation method that considers the size of files being copied and the speed of the disk. Implement a dynamic estimation model that recalibrates the remaining time based on real-time data.

    javascript
    function updateProgress(currentSize, totalSize, elapsedTime) {
  const speed = currentSize / elapsedTime;
  const remainingTime = (totalSize - currentSize) / speed;
  return remainingTime;
}
  2. 2

    Implement Adaptive Progress Updates

    Ensure that the progress bar updates its estimates at regular intervals rather than only at the completion of each file copy. This allows for recalibrating the estimated time based on the most recent data.

    javascript
    setInterval(() => {
  const remainingTime = updateProgress(currentSize, totalSize, elapsedTime);
  updateProgressBar(remainingTime);
}, 1000);
  3. 3

    Add User Feedback Mechanism

    Introduce a user feedback mechanism that allows users to report inaccuracies in the progress estimation. This data can be used to further refine the estimation algorithm.

    javascript
    function reportInaccuracy(userFeedback) {
  // Log feedback for analysis
  logFeedback(userFeedback);
  // Optionally adjust algorithm based on feedback
}
  4. 4

    Test Across Various File Types and Sizes

    Conduct thorough testing of the new estimation algorithm across different file types and sizes to ensure that it performs well under various conditions. Collect data on accuracy and adjust the algorithm as necessary.

    javascript
    const testFiles = ['file1.txt', 'file2.zip', 'file3.mp4'];

testFiles.forEach(file => {
  const result = copyFile(file);
  logTestResult(result);
});

Validation

To confirm the fix worked, monitor the progress bar during file operations to see if the estimated time aligns more closely with the actual time taken. Collect user feedback on the accuracy of the estimates after implementing the changes.

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Environment