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Analyze your Qase test coverage with AI

Swiftask connects your AI agents to Qase to audit your test coverage continuously. Identify flaws in your QA strategy instantly.

Result:

Turn your test data into actionable insights. Improve the quality of your software releases in record time.

The complexity of measuring QA coverage

Maintaining accurate visibility over test coverage in Qase becomes impossible as your project grows. Teams waste valuable time cross-referencing data manually, often leaving critical areas untested.

Main negative impacts:

  • Invisible coverage gaps: Critical features remain without associated tests, creating risks of costly regressions in production.
  • Inefficient manual analysis: Manual auditing of test plans is slow, error-prone, and cannot react to code changes in real time.
  • Strategic misalignment: Without a clear view of actual coverage, QA efforts are poorly directed toward areas already saturated with tests.

Swiftask automates the analysis of your Qase coverage. Our AI agents crawl your test cases, compare results against requirements, and alert you on areas that need coverage.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A QA lead spends hours generating Excel reports to check which modules are covered. Decisions are made on stale data, and omissions are discovered too late, often after deployment.

With Swiftask + Qase

As soon as an update is detected in Qase, your AI agent analyzes coverage. You receive an intelligent report identifying exactly which tests are missing before the test cycle even begins.

Optimize your Qase coverage in 4 steps

STEP 1 : Link your Qase project

Connect your Qase instance to Swiftask in a few clicks to give your AI agent access to your test data.

STEP 2 : Define your test priorities

Teach the agent what constitutes 'full' coverage for your critical modules.

STEP 3 : Run automatic analysis

The AI agent processes Qase data and automatically detects gaps between requirements and existing tests.

STEP 4 : Get actionable recommendations

Get precise suggestions on new test cases to write to secure your application.

AI analysis capabilities for Qase

The AI evaluates density, priority, and relevance of tests against recent code changes.

  • Target connector: The agent performs the right actions in qase based on event context.
  • Automated actions: Risk area identification, automated coverage reporting, QA task prioritization, alerts on potential regressions.
  • Native governance: All analyses are logged in Swiftask to track the evolution of your QA maturity over time.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-qase@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Benefits for your QA team

1. Drastic risk reduction

Detect uncovered areas before they become bugs in production.

2. 10x Productivity

Free your QA engineers from tedious audit tasks through automation.

3. Data-driven decisions

Drive your testing strategy with precise and objective metrics.

4. Rapid alignment

Ensure every product evolution is immediately accounted for in Qase.

5. Seamless integration

Work directly in Qase, Swiftask handles the intelligence in the background.

Test data security

Swiftask applies enterprise-grade security standards for your qase automations.

  • Secure API connection: The integration follows Qase security standards for protected reading of your data.
  • Guaranteed privacy: Your test data is never used to train public models.
  • Granular control: Manage access and analysis scopes for the AI from your Swiftask dashboard.
  • Compliance assured: The audit trail helps justify test coverage for ISO or regulatory standards.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your QA performance

MetricBeforeAfter
Coverage audit timeSeveral days per sprintMinutes in continuous mode
Detection of test omissionsDuring manual testingDuring planning phase
Confidence in deploymentsUncertainMeasurable and high
Cost of poor qualityHigh (prod bugs)Significantly reduced

Take action with qase

Turn your test data into actionable insights. Improve the quality of your software releases in record time.

Automate your Qase test flows within your CI/CD pipeline

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