Invention Grant
- Patent Title: Quantifying tester sentiment during a development process
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Application No.: US16732461Application Date: 2020-01-02
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Publication No.: US11237950B2Publication Date: 2022-02-01
- Inventor: Jorge Andres Moros Ortiz , Khoi-Nguyen Dao Tran , Kimiko Wilson
- 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: Cantor Colburn LLP
- Agent Joseph Petrokaitis
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06F11/36 ; G06F40/20

Abstract:
Aspects of the invention include a computer-implemented method for quantifying tester sentiment. The computer-implemented method includes receiving a first feedback data from a first tester, where the first feedback data represents feedback generated by the first tester in connection with a first instance of a first software-under-development. The first feedback data is correlated to an aspect of the first instance of the first software-under-development to derive a tester sentiment data. The tester sentiment data is used to determine a tester sentiment rating of the first instance of the software-under-development. Based on the tester sentiment rating, a resource is applied to the first instance of the first software-under-development.
Public/Granted literature
- US20210209009A1 QUANTIFYING TESTER SENTIMENT DURING A DEVELOPMENT PROCESS Public/Granted day:2021-07-08
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