Predicting the success of a continuous software deployment pipeline

Patent metadata

Field	Value
Publication number	US-9612821-B2
Application number	US-201514790130-A
Country	US
Kind code	B2
Filing date	Jul 2, 2015
Priority date	Jul 2, 2015
Publication date	Apr 4, 2017
Grant date	Apr 4, 2017

Abstract

A method for predicting deployment success of a continuous deployment pipeline is provided. Initially, a user request may be received for node data from nodes that correspond to steps in the pipeline. The requests for node data may then be distributed to the appropriate nodes in the pipeline based on the received user request. Thereafter, the requested node data may be received as a response from the appropriate nodes in the pipeline and stored in a data repository. Then, a success prediction score may be calculated based on the stored node data and historical data. Finally, the calculated success prediction score may be displayed to the user through a dashboard.

First claim

What is claimed is:

1. A processor-implemented method for predicting deployment success of a continuous deployment pipeline, the method comprising:
receiving, by a processor, a user request for a plurality of indicators from a plurality of nodes, wherein each indicator within the plurality of indicators is associated with a node within the plurality of nodes and wherein the plurality of nodes are associated with the continuous deployment pipeline;
requesting the plurality of indicators from the plurality of nodes based on the received user request;
receiving the requested plurality of indicators from the plurality of nodes;
storing the received plurality of indicators in a data repository;
calculating a plurality of constituent element scores based on the stored plurality of indicators, wherein the plurality of constituent element scores includes a requirement complexity score a source code change complexity score a build quality score a test readiness score a deployment environment fitness score and a current deployment progress score;
calculating a success prediction score based on the calculated plurality of constituent element scores; and
outputting the calculated success prediction score to a user;
wherein requesting the plurality of indicators comprises using an application program interface (API) associated with each node within the plurality of nodes.

2. The method of claim 1 , wherein receiving the user request for the plurality of indicators and the plurality of nodes comprises the user indicating the plurality of indicators and the plurality of nodes by using a user dashboard.

3. The method of claim 2 , wherein the outputting the calculated success prediction score to the user comprises generating a notification and sending the notification to the user dashboard.

4. The method of claim 1 , wherein calculating the success prediction score comprises determining an inverse of a sum of each constituent element score within the plurality of constituent element scores divided by 100.

5. The method claim 1 , wherein calculating the success prediction score based on the calculated plurality of constituent element scores comprises comparing the plurality of indicators with a plurality of historical indicators.

6. A computer system for predicting continuous deployment success of a continuous deployment pipeline, comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more
processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: receiving a user request for a plurality of indicators from a plurality of nodes, wherein each indicator within the plurality of indicators is associated with a node within the plurality of nodes and wherein the plurality of nodes are associated with the pipeline;
requesting the plurality of indicators from the plurality of nodes based on the received user request;
receiving the requested plurality of indicators; storing the received plurality of indicators in a data repository;
calculating a plurality of constituent element scores based on the stored plurality of indicators, wherein the plurality of constituent element scores includes a requirement complexity score a source code change complexity score a build quality score a test readiness score a deployment environment fitness score and a current deployment progress score;
calculating a success prediction score based on the calculated plurality of constituent element scores; and
outputting the calculated success prediction score to the user;
wherein requesting the plurality of indicators comprises using an application program interface (API) associated with each node within the plurality of nodes.

7. The computer system of claim 6 , wherein receiving the user request for the plurality of indicators and the plurality of nodes comprises the user indicating the plurality of indicators and the plurality of nodes by using a user dashboard.

8. The computer system of claim 7 , wherein the outputting the calculated success prediction score to the user comprises generating a notification and sending the notification to the user dashboard.

9. The computer system of claim 6 , wherein calculating the success prediction score comprises determining an inverse of a sum of each constituent element score within the plurality of constituent element scores divided by 100.

10. The computer system claim 6 , wherein calculating the success prediction score based on the calculated plurality of constituent element scores comprises comparing the plurality of indicators with a plurality of historical indicators.

11. A computer program product for predicting continuous deployment success of a continuous deployment pipeline, comprising:
one or more computer-readable storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor, the program instructions comprising:
program instructions to receive a user request for a plurality of indicators from a plurality of nodes, wherein each indicator within the plurality of indicators is associated with a node within the plurality of nodes and wherein the plurality of nodes are associated with the pipeline;
program instructions to request the plurality of indicators from the plurality of nodes based on the received user request; program instructions to receive the requested plurality of indicators;
program instructions to store the received plurality of indicators in a data repository;
program instructions to calculate a plurality of constituent element scores based on the stored plurality of indicators, wherein the plurality of constituent element scores includes a requirement complexity score a source code change complexity score a build quality score a test readiness score a deployment environment fitness score and a current deployment progress score program instructions to calculate a success prediction score based on the calculated plurality of constituent element scores; and
program instructions to output the calculated success prediction score to the user;
wherein requesting the plurality of indicators comprises using an application program interface (API) associated with each node within the plurality of nodes.

12. The computer program product of claim 11 , wherein receiving the user request for the plurality of indicators and the plurality of nodes comprises the user indicating the plurality of indicators and the plurality of nodes by using a user dashboard.

13. The computer program product of claim 12 , wherein outputting the calculated success prediction score to the user comprises generating a notification and sending the notification to the user dashboard.

14. The computer program product of claim 11 , wherein calculating the success prediction score comprises determining an inverse of a sum of each constituent element score within the plurality of constituent element scores divided by 100.

Assignees

• IBM

Inventors

• Iyer Sreekanth R
• Kodi Vasanth K

Classifications

• G06F8/60

  Software deployment · CPC title

• H04L43/045

  for graphical visualisation of monitoring data · CPC title

• H04L41/5016

  based on statistics of service availability, e.g. in percentage or over a given time · CPC title

• G06F8/71

  Version control (security arrangements therefor G06F21/57); Configuration management · CPC title

• G06F8/65 Primary

  Updates (security arrangements therefor G06F21/57) · CPC title