公开(公告)号：US20230093659A1

公开(公告)日：2023-03-23

申请号：US17479518

申请日：2021-09-20

Applicant: salesforce.com, inc.

Inventor： Bobert M. O'DELL ,  Nicolas Hernan BATTIATO ,  Diego Gabriel LARRALDE ,  Guido Agustin MARTINEZ ,  Christian VALLEJOS ,  Maria Florencia VIMBERG ,  Eduardo Cominguez ,  Ignacia Agustin Manzano ,  Peter Gorski

IPC: G06F11/34 ,  G06F9/54

Abstract: Disclosed herein are system, method, and computer-readable medium embodiments for providing the ability to automate identification of endpoints of an API for potential health checks based on machine learning and/or similarity search algorithms. The algorithms analyze an API specification according to the algorithm's training and/or search among reference APIs. Rather than having to manually generate health check tests for the web service, a test developer can interact with a test service through a web browser and provide the service an API specification. The test service then can automatically rank identified endpoints according to a ranking system as well as automate health checks by automatically preparing the health check code according to each identified endpoint.