Invention Grant
- Patent Title: Intelligent software compiler dependency fulfillment
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Application No.: US16663488Application Date: 2019-10-25
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Publication No.: US10802803B2Publication Date: 2020-10-13
- Inventor: Awadhesh Pratap Singh , Dinesh Narendra Jibhe
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Weiss & Arons LLP
- Agent Michael A. Springs, Esq.
- Main IPC: G06F8/41
- IPC: G06F8/41 ; G06N20/00 ; G06F11/36 ; G06F16/14 ; G06F16/951

Abstract:
A machine learning tool for resolving a compiler error in an application is provided. The application and an associated application metadata file may be stored on a server. The machine learning tool may identify one or more referenced external dependencies causing the compiler error. The machine learning tool may comprise a web crawler configured to locate one or more comparable external dependencies. The web crawler may retrieve an external dependent metadata file for each of the located comparable external dependencies and download the comparable external dependent metadata files. The machine learning tool may be configured to compare the metadata of each comparable external dependent metadata file to the metadata of the application metadata file, assign a confidence level relative to a pre-determined confidence level, for each located comparable external dependency, and download the located comparable external dependencies having a confidence level greater than the pre-determined confidence level.
Public/Granted literature
- US20200057614A1 INTELLIGENT SOFTWARE COMPILER DEPENDENCY FULFILLMENT Public/Granted day:2020-02-20
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