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Micro Focus Frequent Contributor
Micro Focus Frequent Contributor

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This is a python script which uploads usermaps defined in Excel to MF Connect. This is currently only supporting a 1:1 system mapping, while as a usermap could include 1:n users. 
 
The script is on Github, in case someone need to change it. https://github.com/a1m0ctane/mf_connect_import_usermap 
Attached a short presentation and a youtube video: https://www.youtube.com/watch?v=zCMGGp2Svk0
 

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Micro Focus Frequent Contributor
Micro Focus Frequent Contributor

Pipelines in ALM Octane represent the jobs or steps that run on your CI server. ALM Octane incorporates data from your pipelines into your application delivery process, helping you analyze quality, progress, change impact, code coverage and more. In this attached document, we will look into the integration between ALM Octane and Azure DevOps pipelines.

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Micro Focus Frequent Contributor
Micro Focus Frequent Contributor

There are 2 Integrations between ALM Octane & Azure DevOps provided by Micro Focus:

1.Synchronization between Backlog Items from Azure DevOps to ALM Octane and vice versa – This Integration is using Micro Focus Connect

2.Continuous Integration of Azure DevOps acting as a pipeline and populating pipeline runs into ALM Octane

Both Integration extend the Azure DevOps capabilities towards Continuous Quality Management and DevOps Analytics. In this attached document, we will look into the Synchronization using MF Connect

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Micro Focus Frequent Contributor
Micro Focus Frequent Contributor

The Microsoft CI system Azure DevOps Server can trigger tests using UFT from the local file system, from ALM, or from the ALM Test Lab module.

The attached document describes how to integrate UFT with the Azure DevOps Server (formerly known as Team Foundation Server (TFS)).

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Micro Focus Frequent Contributor
Micro Focus Frequent Contributor

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Integrate JMeter into ALM Octane

Recently I have been on different engagements, where JMeter Load/Performance Testing were part of a continuous integration (CI) pipeline. On other engagements, JMeter Load/Performance Testing were not part of any continuous Integration pipeline. In both cases, we were successful connected ALM Octane with JMeter (with a CI pipeline and without). In the following, I will explain 2 different approaches on how to integrate JMeter with ALM Octane.

Easiest way to integrate a testing tool into ALM Octane is to use a continuous integration (CI) Integration – basically if the testing tool can talk to the CI (such as Jenkins) through a framework (such as Junit), we can say with high probability that ALM Octane will understand this communication – in some cases the XML provided by the testing tool need to be transformed into the correct format. The first approach would be to integrate the testing tool with the CI. From the CI, ALM Octane will push the test results to its workspaces.

In any case, if the organization is not consuming CI pipelines to deliver performance testing, also for this through a valid Junit XML the results can be pushed to ALM Octane using a test run collection tool.


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Micro Focus Frequent Contributor
Micro Focus Frequent Contributor

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In my last article, I provided some examples on how to access the ALM Octane REST API using Python. Before continuing with this article, checkout: How to Access ALM Octane REST API using Python.

Pre-requisites – Set Up Access

Getting started!

Once you meet all the pre-requisites, follow the general integration flow of the ALM Octane REST API.


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