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公开(公告)号:US11500763B1
公开(公告)日:2022-11-15
申请号:US16831655
申请日:2020-03-26
Applicant: Amazon Technologies, Inc.
Inventor: Mihaela Petrescu , Yan Peng , Sahar Zeineddine , Nikhil Ravishankar , Adithya Venkatesh
Abstract: Methods, systems, and computer-readable media for distributed canary testing with test artifact caching are disclosed. Using one or more storage components, a test client stores one or more software artifacts for testing of a software product. The client initiates a first test of the software product using the software artifact(s) stored in the storage component(s). In the first test, the client sends a first set of requests to the software product at a first point in time. The client initiates a second test of the software product using the software artifact(s) stored in the storage component(s). In the second test, the client sends a second set of requests to the software product at a second point in time. The software artifact(s) are maintained in the storage component(s) between the first point in time and the second point in time.
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公开(公告)号:US11416379B1
公开(公告)日:2022-08-16
申请号:US16907113
申请日:2020-06-19
Applicant: Amazon Technologies, Inc.
Inventor: Mihaela Petrescu , James Beavis , Yan Peng , Adithya Venkatesh , Peter Ramensky
Abstract: Methods, systems, and computer-readable media for creation of software tests matching production personas are disclosed. A software testing system determines a plurality of observations regarding execution of a software product in a production environment comprising a plurality of software products. The software testing system determines one or more personas based at least in part on analysis of the plurality of observations. A particular persona represents one or more usage characteristics shared by a subset of clients of the software product. The software testing system generates one or more tests associated with the particular persona. The one or more tests comprise one or more input values of a plurality of calls. The one or more input values represent the usage characteristics shared by the subset of clients of the software product.
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