18204784. AUTOMATIC DIAGNOSTICS AND MITIGATION FOR IMPROVING APPLICATION RESPONSIVENESS simplified abstract (Apple Inc.)

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AUTOMATIC DIAGNOSTICS AND MITIGATION FOR IMPROVING APPLICATION RESPONSIVENESS

Organization Name

Apple Inc.

Inventor(s)

Sonia Mannan of San Jose CA (US)

Anshul Dawra of Campbell CA (US)

John T. Crowson of San Diego CA (US)

Akshay Salpekar of Dublin CA (US)

Phillip J. Azar of Oakland CA (US)

Anthony R. Newnam of San Francisco CA (US)

AUTOMATIC DIAGNOSTICS AND MITIGATION FOR IMPROVING APPLICATION RESPONSIVENESS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18204784 titled 'AUTOMATIC DIAGNOSTICS AND MITIGATION FOR IMPROVING APPLICATION RESPONSIVENESS

Simplified Explanation

The present disclosure describes devices, methods, and computer readable medium for identifying, generating, and presenting diagnostic data for devices.

  • The diagnostic data includes log file data associated with common errors or operational metrics.
  • Commonality is determined by comparing call path signatures generated for log files.
  • Matched log files are grouped together based on common errors, such as hanging errors.
  • A user interface is provided to view the diagnostic data associated with a common error.
  • This technique allows for intelligent visualization of performance changes and identification of errors in applications.

Potential Applications

  • This technology can be used in software development and debugging processes.
  • It can be applied in system monitoring and troubleshooting to identify and resolve issues.
  • It can be used in quality assurance to detect and analyze errors in software applications.

Problems Solved

  • This technology solves the problem of efficiently identifying and analyzing common errors in devices.
  • It addresses the challenge of visualizing performance changes and identifying errors in applications.
  • It provides a method for grouping and presenting diagnostic data associated with common errors.

Benefits

  • The technology improves the efficiency and accuracy of identifying and resolving errors in devices.
  • It allows for better visualization and understanding of performance changes in applications.
  • It provides a user-friendly interface for viewing and analyzing diagnostic data.


Original Abstract Submitted

Embodiments of the present disclosure present devices, methods, and computer readable medium related to identifying, generating, and presenting diagnostic data corresponding to devices from which the diagnostic data was obtained. In some embodiments, the diagnostic data may include log file data associated with a common error, operational metrics, or the like. Commonality may be identified based on call path signatures. Call path signatures may be generated for log files and compared to one another to determine matches. Matched log files may be grouped or otherwise associated with a common error (e.g., a hanging error). A user interface is provided to view the diagnostic data associated with a common error. The disclosed techniques provide an intelligent method for visualizing performance changes and/or identifying errors in applications.

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