The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 01, 2019

Filed:

Sep. 10, 2018
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Mahesh Venkata Raman, Bangalore, IN;

Sunder Nochilur Ranganathan, Bangalore, IN;

Mallika Fernandes, Bangalore, IN;

Kulkarni Girish, Bangalore, IN;

Chinmaya Ranjan Jena, Bangalore, IN;

Jothi Gouthaman, Chennai, IN;

Venugopal S. Shenoy, Bangalore, IN;

Srinatha Sreedhara Mulugund, Bangalore, IN;

Sivasankar Ramalingam, Guduvanchery, IN;

Kishore P. Durg, Bangalore, IN;

Matthias Rasking, Frankfurt, DE;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 11/36 (2006.01); G06N 20/00 (2019.01); G06F 15/76 (2006.01); G06F 16/901 (2019.01); G06F 8/10 (2018.01); G06N 5/02 (2006.01); G06F 11/00 (2006.01); G06F 11/34 (2006.01);
U.S. Cl.
CPC ...
G06F 11/3688 (2013.01); G06F 8/10 (2013.01); G06F 11/008 (2013.01); G06F 11/3438 (2013.01); G06F 11/3476 (2013.01); G06F 11/3616 (2013.01); G06F 11/3664 (2013.01); G06F 11/3676 (2013.01); G06F 11/3684 (2013.01); G06F 11/3692 (2013.01); G06F 11/3696 (2013.01); G06F 15/76 (2013.01); G06F 16/9024 (2019.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); G06F 2201/865 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a touchless testing platform employed to, for example, create automated testing scripts, sequence test cases, and implement determine defect solutions. In one aspect, a method includes the actions of receiving a log file that includes log records generated from a code base; processing the log file through a pattern mining algorithm to determine a usage pattern; generating a graphical representation based on an analysis of the usage pattern; processing the graphical representation through a machine learning algorithm to select a set of test cases from a plurality of test cases for the code base and to assign a priority value to each of the selected test cases; sequencing the set of test cases based on the priority values; and transmitting the sequenced set of test cases to a test execution engine.


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