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Digital.ai Agility Integration with Micro Focus ALM

The integration of Digital.ai Agility (Formerly VersionOne) with Micro Focus ALM (Also known as Micro Focus ALM / QC and Micro Focus ALM Octane) makes it easier for the development and Quality Assurance (QA) teams to collaborate. This, in turn, helps in delivering a high-quality product to customers at a faster pace.

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Digital.ai Agility – Micro Focus ALM Integration Overview

In an Application Lifecycle Management (ALM) environment, the choice of systems, and the collaboration between the cross-functional teams play a great role in delivering quality solutions. While the choice of systems impacts a team’s productivity, cross-functional collaboration helps the teams get complete context of the business requirements.

Best-of-breed systems such as Digital.ai Agility (Formerly VersionOne) and Micro Focus ALM (Also known as Micro Focus ALM / QC and Micro Focus ALM Octane) bring rich functionalities to the ecosystem. Integration of Digital.ai Agility with Micro Focus ALM/QC ensures that the development and QA teams are on the same page when it comes to delivery timelines and has complete visibility into each other’s tasks.

How Digital.ai Agility – Micro Focus ALM integration is beneficial for an enterprise

  • Trace the requirement breakdown, associated test cases, and defects
  • Get complete context of the business requirement and receive real-time updates when there is a change in the plan
  • Coordinate on the delivery timelines seamlessly with concurrent updates on changes
  • Get full traceability into the Quality Assurance (QA) plans and reports

With Digital.ai Agility + Micro Focus ALM integration, enterprises can:

VersionOne Micro Focus ALM/QC Integration

How OpsHub Integration Manager integrates Digital.ai Agility and Micro Focus ALM

OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne) and Micro Focus ALM (Also known as Micro Focus ALM / QC and Micro Focus ALM Octane) bi-directionally. It ensures that all historical and current data is available to each user, in that user’s preferred system, with full context, in real-time. The release and cycle, test cases, defects in Micro Focus ALM can be accessed by the development team from Digital.ai Agility itself. The QA team also gets real-time visibility into the plans, schedule, and progress of a story.

Popularly synchronized entities

VersionOne Micro Focus ALM/QC Entities Mapping

Use Case: Digital.ai Agility integration with Micro Focus ALM

Problem statement: The development team and quality control team are not able to coordinate on timelines and the issues are falling through the cracks.

Solution: When Digital.ai Agility (Formerly VersionOne) is integrated with Micro Focus ALM (Also known as Micro Focus ALM / QC and Micro Focus ALM Octane), both quality and development will have visibility into each other’s schedule and the coordination will become seamless.

  1. The quality control team creates ‘defect’ in Micro Focus ALM after testing a ‘use case’.
  2. The ‘defect’ along with associated details gets synchronized to Digital.ai Agility.
  3. The development team edits the corresponding defect in Digital.ai Agility and defines a ‘resolution date’. This detail synchronizes to Micro Focus ALM.
  4. The quality control team writes a ‘test case’ against the defect and plans the test as per the timelines, which also synchronizes to Digital.ai Agility.
  5. When the ‘defect’ is resolved, the development team marks the ‘defect’ as resolved.
Digital.ai Agility Integration with Micro Focus ALM/QC

Benefits of integration for Digital.ai Agility and Micro Focus ALM users

Digital.ai Agility users

  • Visibility into QA schedule and test cases in advance
  • Complete context of the defects and their severity
  • No dependency on manual communication for
    making business decisions

Micro Focus ALM users

  • Access to the business requirements, development status, and associated updates from within Micro Focus ALM/QC
  • Complete context of the customer requirements and priorities
  • No manual efforts needed to keep backend teams updated on the QA cycle and reports