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:
Jun. 15, 2021

Filed:

Dec. 10, 2019
Applicant:

Xebialabs, Inc., Burlington, MA (US);

Inventors:

Jovan Veljanoski, Utrecht, NL;

Bulat Yaminov, Utrecht, NL;

Assignee:

Digital.ai Software, Inc., Burlington, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/60 (2018.01); G06F 17/18 (2006.01); G06N 20/00 (2019.01); G06F 8/70 (2018.01);
U.S. Cl.
CPC ...
G06F 8/60 (2013.01); G06F 8/70 (2013.01); G06F 17/18 (2013.01); G06N 20/00 (2019.01);
Abstract

The release/delivery of software applications in a corporate setting is often a complex process chaining dozens of steps handled by a myriad of so-called DevOps tools. This process is known as a release or delivery pipeline. Embodiments of the invention provide a method and system of predicting the risk, status, and duration associated with the execution of such a release/delivery pipeline. Embodiments also provide an engine that predicts the probability of failure, as well as the status and duration of each individual pipeline step. One embodiment begins by obtaining all necessary data from a release orchestration tool, which contains the information of the structure, content, and any other custom specifications of a release/delivery pipeline. The data is transformed and encoded. The predictions are then calculated by comparing this data to a historic record of already executed release/delivery pipelines which were archived by the release orchestration tool. Finally, the predictions obtained are presented in a user interface to the user of the release orchestration tool.


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