- 专利标题: Forecasting a quality of a software release using machine learning
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申请号: US16176929申请日: 2018-10-31
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公开(公告)号: US11347629B2公开(公告)日: 2022-05-31
- 发明人: Rohan Sharma , Sathish Kumar Bikumala , Sibi Philip , Kiran Kumar Gadamshetty
- 申请人: Dell Products L. P.
- 申请人地址: US TX Round Rock
- 专利权人: Dell Products L. P.
- 当前专利权人: Dell Products L. P.
- 当前专利权人地址: US TX Round Rock
- 代理商 Krishnendu Gupta; Deepika Bhayana; Derek Lam
- 主分类号: G06F11/36
- IPC分类号: G06F11/36 ; G06Q10/04 ; G06Q10/06 ; G06N20/00
摘要:
In some examples, a server may retrieve and parse test results associated with testing a software package. The server may determine a weighted sum of a software feature index associated with a quality of the plurality of features, a defect index associated with the defects identified by the test cases, a test coverage index indicating a pass rate of the plurality of test cases, a release release reliability index associated with results of executing regression test cases included in the test cases, and an operational quality index associated with resources and an environment associated with the software package. The server may use a machine learning algorithm, such as a time series forecasting algorithm, to forecast a release status of the software package. The server may determine, based on the release status, whether the software package is to progress from a current phase to a next phase of a development cycle.
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