18070589. SOFTWARE ERROR STATE RESOLUTION THROUGH TASK AUTOMATION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

SOFTWARE ERROR STATE RESOLUTION THROUGH TASK AUTOMATION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Melanie Dauber of Oceanside NY (US)

Jacob Ryan Jepperson of St. Paul MN (US)

Zachary A. Silverstein of Georgetown TX (US)

Jeremy R. Fox of Georgetown TX (US)

SOFTWARE ERROR STATE RESOLUTION THROUGH TASK AUTOMATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18070589 titled 'SOFTWARE ERROR STATE RESOLUTION THROUGH TASK AUTOMATION

Simplified Explanation

The method described in the patent application involves saving data logs from multiple user devices, creating a knowledge corpus based on these logs, and generating a remediation library with entries defining error states and associated user actions. When a real-time error state is detected in a user device, the system identifies the corresponding entry in the remediation library and prompts the user device to display the recommended actions.

• Saving data logs from multiple user devices
• Creating a knowledge corpus based on the data logs
• Generating a remediation library with entries defining error states and user actions
• Detecting real-time error states in user devices
• Identifying entries in the remediation library based on the detected error states
• Prompting user devices to display recommended actions from the identified entries

Potential Applications

This technology could be applied in various industries such as tech support, customer service, and software development to provide real-time solutions for error states in user devices.

Problems Solved

This technology streamlines the process of troubleshooting and resolving errors in user devices by leveraging a knowledge corpus and remediation library to provide prompt and accurate solutions.

Benefits

The benefits of this technology include improved user experience, faster resolution of technical issues, and increased efficiency in handling error states in user devices.

Potential Commercial Applications

Potential commercial applications of this technology include tech support services, software development companies, and customer service departments looking to enhance their error resolution processes.

Possible Prior Art

One possible prior art for this technology could be automated troubleshooting systems that analyze error logs and provide solutions based on predefined patterns and rules.

How does the system prioritize the entries in the remediation library when multiple potential solutions are available for a detected error state?

The system may prioritize entries based on factors such as the severity of the error, the frequency of occurrence, or user feedback on the effectiveness of previous solutions.

Can users customize or add their own entries to the remediation library to tailor the recommendations to their specific needs or preferences?

Users may have the option to customize the remediation library by adding their own entries or modifying existing ones to better suit their individual requirements or preferences.

Original Abstract Submitted

A method includes: saving data logs from a plurality of user devices; creating a knowledge corpus based on the data logs; creating a remediation library based on the knowledge corpus, wherein each entry in the remediation library includes data defining a respective error state from the knowledge corpus and user actions associated with the respective error state; detecting a real time error state in one of the user devices; identifying an entry in the remediation library based on the real time error state in the one of the user devices; and causing the one of the user devices to display a message indicating the actions included in the identified entry in the remediation library.