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AssigneeAmazon Technologies, Inc.
InventorsSrikar Appalaraju, Amol Wanjari, Amit Arora, Vipul Bhargava, Ashish Hari Chiplunkar, Vineet Khare, Chellappan Lakshmanan
Estimating the term…
Techniques are disclosed herein for reactively identifying software products, available from an electronic marketplace, that are exhibiting anomalous behavior. Data associated with software products is accessed and analyzed to determine anomalous behavior. The data analyzed may include, but is not limited to, crash data, ratings data, marketplace data, usage data, and the like. A machine learning mechanism may be used to classify the application into a category relating to whether a potential anomaly is identified for the software product. A score may also be calculated for the software applications that indicates a severity of the anomalous behavior. The classification and/or the score may be used to determine whether to perform further analysis or testing with regard to a software product. For instance, the score may be used to determine that the software product is to be tested by a testing service.
A non-transitory computer-readable storage medium having computer-executable instructions stored thereupon which, when executed by a computer, cause the computer to:
A system, comprising:
A computer-implemented method to identify potentially problematic software products for further testing, the method comprising:
Dependencies are inferred from the claim text.