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US Patent 10146676 Multi-version regression tester for source code

Patent 10146676 was granted and assigned to X on December, 2018 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
X
X
0
Current Assignee
X
X
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
101466760
Patent Inventor Names
Puneet Khanduri0
Date of Patent
December 4, 2018
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Patent Application Number
151941060
Date Filed
June 27, 2016
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Patent Citations Received
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US Patent 11392696 Systems and methods for detecting code implanted into a published application
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US Patent 10579509 Machine learning comparison tools
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US Patent 10705950 Method and system for semi-automatic testing of program code for graphical user interfaces
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US Patent 10901877 Test regression creating bucket by using package of code to be tested
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US Patent 11074164 Real-time regression test generator
Patent Primary Examiner
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Chameli Das
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Patent abstract

A system and method for performing regression testing on source code provides a data sample to one or more candidate instances executing a candidate version of source code for a code base and provides the data sample to plurality of baseline instances executing a baseline version of the source code. The baseline version of the source code and the candidate version of the source code differ. The regression testing system and method obtains candidate outputs from the one or more candidate instances and obtains baseline outputs from the plurality of baseline instances based on the provided data sample. One or more faults in the candidate version of the source code can be determined by comparing the candidate outputs the baseline outputs. A filter for excluding one or more data fields from the comparison can be generated based on a comparison between baseline outputs from one of the plurality of baseline instances and baseline outputs from another of the plurality of baseline instances. Faults can also be determined based on satisfaction of a sample count, a relative threshold, an absolute threshold, or a median absolute deviation comparison.

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