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:
Jul. 13, 2021

Filed:

Jul. 08, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Bo Zhang, Cary, NC (US);

Alexander Sobran, Chapel Hill, NC (US);

Bradley C. Herrin, Austin, TX (US);

Xianjun Zhu, Cary, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); G06F 11/22 (2006.01); G06N 7/00 (2006.01); G06N 20/00 (2019.01); G06F 8/60 (2018.01); G06F 8/658 (2018.01);
U.S. Cl.
CPC ...
G06F 11/2257 (2013.01); G06F 8/60 (2013.01); G06F 8/658 (2018.02); G06N 7/005 (2013.01); G06N 20/00 (2019.01);
Abstract

A method, system and computer program product for detecting potential failures in completing a continuous delivery (CD) pipeline using machine learning. A CD pipeline is defined to include stages, where each stage includes a binary event(s). A model is created by applying an Apriori algorithm and a sequential pattern mining algorithm to a set of previous patterns of sequences of binary events to calculate confidence scores for completing a set of binary events in a particular order. After identifying an ongoing CD sequence (ordered set of binary events) for a software application, the model is used to predict a likelihood of the ongoing CD sequence for the software application completing the CD pipeline by generating confidence score(s) for the ongoing CD sequence. A notification is issued regarding a potential failure in completing the CD pipeline for the software application if a confidence score is below a threshold value.


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