- 专利标题: RECORD-REPLAY TESTING FRAMEWORK WITH MACHINE LEARNING BASED ASSERTIONS
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申请号: US17830824申请日: 2022-06-02
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公开(公告)号: US20230393963A1公开(公告)日: 2023-12-07
- 发明人: Atul Mangat , Varsha Lalwani , Divesh Gandhi
- 申请人: ThoughtSpot, Inc.
- 申请人地址: US CA San Jose
- 专利权人: ThoughtSpot, Inc.
- 当前专利权人: ThoughtSpot, Inc.
- 当前专利权人地址: US CA San Jose
- 主分类号: G06F11/36
- IPC分类号: G06F11/36
摘要:
A replay tool configured in a learning mode is used to replay a recorded interaction workflow to obtain respective learning-mode test data responsive to a request from a client device to a server. A baseline response template is obtained from the respective learning-mode test data. A baseline response time of the request is also obtained from the respective learning-mode test data. The recorded interaction workflow is replayed in a testing mode to obtain testing-mode test data. Responsive to determining that a response body included in the testing-mode test data is inconsistent with the baseline response template, a first anomaly message is output. Responsive to determining that the response time included in the testing-mode test data is not within a tolerance of the baseline response time, a second anomaly message is output.
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