Metadata-based API attribute extraction
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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