Quality Assurance 2018-05-31T08:54:26+00:00

Quality Assurance Practice

Areteans understands the emerging trends in the arena of testing with quick turnaround, faster service with productive output and efficient project management. Hence, we have developed an Agile specific model derived through the best practices from Scrum and Extreme Programming methods.

The life cycle is integrated with the Test Management implemented through Integrated Process Management System. The processes of the Integrated Process Management System have adopted the best in class agile project management techniques.

Based upon our experience on Pega implementations, we have a well-defined testing methodology that involves exhaustive testing across the Pega platform and impacted interfaces. We have unique processes, where every QA resource undergoes CSA enablement to understand how Pega works and implemented in the projects, as well as the related course on the PDN before the resource deployed to the project.

We begin with an assessment of client quality objectives and lay out a clearly defined implementation plan for aligning business objectives and quality objectives, while making repeatability and predictability a part of the overall Quality Assurance through deliberate QA processes
Our Testing Services encompass:

  • Functional Testing
  • User Experience
  • Integration Testing
  • Regression Testing
  • Test Automation
  • Performance Testing
  • User Acceptance Testing

The software Testing lifecycle methodology we have is, aligned with Best practices, some of the techniques/best practices included in test lifecycle are:

  • Static Requirements Testing
  • Defined Test processes and templates
  • Testing Trainings
  • Re-usable test components
  • Work Environment and Standards
  • Metrics Framework & Dashboards
  • Integration with Development lifecycle
  • Reviews

The activities in the life cycle include best practices from Industry which are followed and Accepted. The practices like requirement ambiguity testing for a clear requirement, Ongoing Risk Assessment, scientifically driven estimation mechanism for effort estimation and predictive output are in built in processes planned to be executed across the project life Cycle.

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