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Salesforce captures customer-facing activities while Jira manages engineering execution. Integrating the systems reduces manual handoffs and improves transparency across teams. This guide covers architectural considerations, mapping strategies, and integration best practices.
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OpsHub Integration Manager
Bi-Directional Tricentis qTest and Azure DevOps Integration
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QA teams manage test cases, test executions, and defect tracking in Tricentis qTest. Development teams run sprints and track work items in Azure DevOps. When these systems stay disconnected, test data gets copied manually, execution context disappears, and quality decisions happen without complete information.
OpsHub Integration Manager connects qTest and Azure DevOps with automatic two-way sync. Test cases sync to Azure DevOps work items. Defects appear in Azure DevOps with full execution context. Development progress flows back to qTest automatically. Test steps, execution results, comments, files, and links move together. Teams work in their own tools while staying completely synchronized.
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Defects take longer to resolve: When defects move manually from qTest to Azure DevOps, missing logs, screenshots, or test steps slow investigation and fixes.
Requirement-to-test traceability breaks: Requirements connect to tests in qTest while implementation happens in Azure DevOps. Without integration, maintaining traceability becomes difficult.
Sprint planning lacks testing insight: Development teams plan work in Azure DevOps without visibility into qTest execution status or failed scenarios.
Audit and compliance reporting becomes difficult: Disconnected systems make it hard to prove traceability between requirements, development work, tests, and defects during audits.
Manual status updates consume valuable time: Testers and developers spend hours updating records across qTest and Azure DevOps instead of focusing on testing and delivery.
OpsHub Integration Manager acts as a centralized integration hub connecting Tricentis qTest and Azure DevOps while preserving complete testing and development context across both systems.
qTest → Azure DevOps
Defects, requirements, test cases, test runs, test suites, test cycles, releases, and modules sync to Azure DevOps as work items, user stories, tasks, and bugs along with test steps, execution logs, comments, attachments, screenshots, and traceability links. Development teams receive complete testing context directly in their backlog.
Azure DevOps → qTest
Work items, user stories, tasks, bugs, sprint updates, developer comments, and resolution notes sync back to qTest automatically. QA teams stay informed about development progress without manual follow-ups.
Unlike plugins, OpsHub runs externally through secure APIs, avoiding performance issues, upgrading risks, and plugin maintenance. It supports custom fields, multiple Azure DevOps projects, state transitions, test step sync, and API rate limits automatically.
The result: QA teams track defect progress across development cycles; developers receive complete testing context, and managers get real-time traceability between tests, defects, sprint work, and releases without manual reporting.
Steps to integrate qTest and Azure DevOps
Step
Step
Select projects and entities to be synchronized
Step
Define sync direction and filters
Step
Map fields and activate synchronization
Problem Statement
Goal
Scenario
QA creates test cases with detailed steps in qTest and executes test cycles against builds.
Failed tests generate defects that sync immediately to Azure DevOps with test steps, execution logs, screenshots, and environment details attached.
Developers pick up defects in Azure DevOps, review the full testing context, fix issues, and update work item status during sprints.
Status changes, resolution notes, and sprint progress sync back to qTest automatically. QA sees fixes happening without asking.
The outcome: QA tracks development progress in qTest. Developers get complete test context in Azure DevOps. Stakeholders see end-to-end traceability for release decisions.
Both teams work in their own platforms while data stays consistent and traceable.
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