17532179. SHIFT LEFT MODEL EXECUTION IN SOFTWARE DELIVERY simplified abstract (International Business Machines Corporation)

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SHIFT LEFT MODEL EXECUTION IN SOFTWARE DELIVERY

Organization Name

International Business Machines Corporation

Inventor(s)

Venkata Vara Prasad Karri of Visakhapatnam (IN)

Saraswathi Sailaja Perumalla of Visakhapatnam (IN)

Sarbajit K. Rakshit of Kolkata (IN)

Sampath Kumar Pulupula Venkata of Visakhapatnam (IN)

Ravi Sankar Parvathina of Visakhapatnam (IN)

SHIFT LEFT MODEL EXECUTION IN SOFTWARE DELIVERY - A simplified explanation of the abstract

This abstract first appeared for US patent application 17532179 titled 'SHIFT LEFT MODEL EXECUTION IN SOFTWARE DELIVERY

Simplified Explanation

Abstract

A processor receives and resolves issue resolution requests by accessing a repository of prior requests, classifying the new request based on similarities to previous ones, and identifying the root cause of the issue.

Patent/Innovation Explanation

  • The processor receives an issue resolution request.
  • It accesses a repository of prior issue resolution requests.
  • The repository contains details related to previous requests.
  • The processor classifies the new request based on similarities to previous requests.
  • The processor identifies the root cause of the issue resolution request.

Potential Applications

  • Customer support systems: This technology can be applied to improve customer support systems by efficiently resolving issues based on past experiences.
  • Technical troubleshooting: It can be used to quickly identify and resolve technical issues by analyzing similarities to previous cases.
  • Quality control: The technology can assist in identifying recurring issues in manufacturing processes and finding solutions based on past resolutions.

Problems Solved

  • Time-consuming issue resolution: The technology streamlines the process of resolving issues by leveraging prior knowledge and experiences.
  • Inefficient classification of requests: By classifying new requests based on similarities to previous ones, the technology ensures that issues are addressed appropriately and efficiently.
  • Difficulty in identifying root causes: The technology helps in identifying the underlying causes of issues, leading to more effective resolutions.

Benefits

  • Improved efficiency: By leveraging prior knowledge, the technology reduces the time and effort required to resolve issues.
  • Enhanced customer satisfaction: Faster and more accurate issue resolution leads to improved customer satisfaction.
  • Better decision-making: The technology provides insights into the root causes of issues, enabling informed decision-making for problem-solving.


Original Abstract Submitted

A processor may receive an issue resolution request. The processor may access an issue resolution request repository. The issue resolution request repository may include details related to prior issue resolution requests. The processor may classify the issue resolution request based on the details related to the prior issue resolution requests. The processor may identify a root cause for the issue resolution request.