Invention Grant
- Patent Title: Automated user interface testing with machine learning
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Application No.: US18345774Application Date: 2023-06-30
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Publication No.: US12158876B2Publication Date: 2024-12-03
- Inventor: Harsh Sharma , Yogendra Singh Katheria , Seerajudeen Sheik Ahamed , Rajiv Ramanjani , Shefali Garg
- Applicant: Fidelity Information Services, LLC
- Applicant Address: US FL Jacksonville
- Assignee: Fidelity Information Services, LLC
- Current Assignee: Fidelity Information Services, LLC
- Current Assignee Address: US FL Jacksonville
- Agency: FINNEGAN, HENDERSON, FARABOW, GARRETT & DUNNER LLP
- Priority: IN202111037812 20210820
- Main IPC: G06F16/23
- IPC: G06F16/23 ; G06F11/07 ; G06F16/955 ; G06N3/02

Abstract:
Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.
Public/Granted literature
- US20230342349A1 AUTOMATED USER INTERFACE TESTING WITH MACHINE LEARNING Public/Granted day:2023-10-26
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