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US Patent 10338993 Analysis of failures in combinatorial test suite

Patent 10338993 was granted and assigned to Sas (company) on July, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Sas (company)
Sas (company)
Current Assignee
Sas (company)
Sas (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10338993
Patent Inventor Names
Joseph Albert Morgan0
Ryan Adam Lekivetz0
Bradley Allen Jones0
Date of Patent
July 2, 2019
Patent Application Number
16154290
Date Filed
October 8, 2018
Patent Citations Received
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US Patent 11886320 Diagnosing application problems by learning from fault injections
0
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US Patent 11010285 Fault detection and localization to generate failing test cases using combinatorial test design techniques
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US Patent 11263116 Champion test case generation
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US Patent 11294804 Test case failure with root cause isolation
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US Patent 11397667 Software test case sequencing
0
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US Patent 11409592 Methods of predicting electronic component failures in an earth-boring tool and related systems and apparatus
0
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US Patent 11422924 Customizable test set selection using code flow trees
0
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US Patent 10698806 Combinatorial testing of software for multi-level data structures
...
Patent Primary Examiner
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Bryce P Bonzo
Patent abstract

The computing device generates a test suite that provides test cases for testing a system. A test condition in the test suite comprises one of different levels representing different options assigned to a categorical factor for the system. The computing device receives input weights for one or more levels of the test suite. The computing device receives a failure indication indicating a test conducted according to the test cases failed. The computing device determines a plurality of cause indicators based on the input weights and any commonalities between test conditions of any failed test cases of the test suite that resulted in a respective failed test outcome. The computing device identifies, based on comparing the plurality of cause indicators, a most likely potential cause for a potential failure of the system. The computing device outputs an indication of the most likely potential cause for the potential failure of the system.

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