Invention Grant
- Patent Title: Metadata-based API attribute extraction
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Application No.: US16214072Application Date: 2018-12-08
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Publication No.: US10579372B1Publication Date: 2020-03-03
- Inventor: Mehdi Bahrami , Mehdi Assefi , Wei-Peng Chen
- Applicant: FUJITSU LIMITED
- Applicant Address: JP Kawasaki
- Assignee: FUJITSU LIMITED
- Current Assignee: FUJITSU LIMITED
- Current Assignee Address: JP Kawasaki
- Agency: Maschoff Brennan
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06F8/75 ; G06F8/73 ; G06K9/00 ; G06F8/35 ; G06F8/10 ; G06N20/00

Abstract:
A method of machine learning may include receiving an API documentation including an endpoint and corresponding metadata. The method may include receiving a verified API specification including a verified endpoint. The method may include comparing the endpoint to the verified endpoint. The method may include classifying the metadata. The metadata may be classified as a positive item responsive to the endpoint being substantially the same as the verified endpoint. The metadata may be classified as a negative item responsive to the endpoint not being substantially the same as the verified endpoint. The method may include generating a training dataset, which may include the metadata classified as a positive item or a negative item. The method may include generating a metadata model using a machine learning algorithm and the training dataset. The metadata model may be configured to be used to determine whether an unknown endpoint is a positive endpoint.
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