Invention Grant
- Patent Title: Computer assisted programming with targeted visual feedback
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Application No.: US17322559Application Date: 2021-05-17
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Publication No.: US11429360B1Publication Date: 2022-08-30
- Inventor: Mayank Agarwal , Kartik Talamadupula , Justin David Weisz , Stephanie Houde , Fernando Carlos Martinez , Michael Muller , John Thomas Richards , Steven I. Ross
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Sherman IP LLP
- Agent Kenneth L. Sherman; Steven Laut
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06F8/51 ; G06N20/00 ; G06F11/36 ; G06F8/33

Abstract:
A method of using artificial intelligence to provide source code from an original programming language in a target programming language showing regions of low confidence. The method includes receiving, by a computing device, a code base in an original programming language. The computing device further provides the code base in the original programming language to a target programming language using an artificial intelligence tool. The computing device additionally displays the code base in the target programming language using a visualization tool in a visual interface. The computing device still further displays the regions of uncertainty to a human user in the visual interface. The regions of uncertainty provide low confidence regions of the code base in the target programming language for targeted user intervention. The regions of low confidence correlate with violations to provide displayed actionable insight regions.
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