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Manage test cases, suites and releases with AI-assisted authoring and CI integrations.

Manage manual test cases and runs, then bring automated results into a shared QA workspace.

SmartBear's Jira test-management app organizes cases, cycles and results, with optional no-code automation.

A Jira-native test-management app for linking manual and automated test work to requirements and releases.

A platform for business orchestration and automation that coordinates AI agents, robots, and people.

A hosted test-management workspace that brings manual runs and automated results into one QA reporting view.

Organize test cases, plans, and execution results so a team can track quality across releases.

Self-hosted web test management for requirements, test cases, release plans, execution results and progress reports.

A test-management and quality-analytics platform for organizing coverage, execution results, and release readiness.

Bring manual cases, exploratory sessions and automated test results into one QA workspace.

Automate remote execution, configuration management, and infrastructure orchestration.

A test-management workspace for manual plans and results imported from automation frameworks.

Turn results from supported test frameworks into interactive reports with history, steps and failure context.

Elixir's built-in unit-testing framework for test cases, assertions, callbacks, and doctests.

Structure GUI and API test cases around solutions, technology add-ins and repeatable execution reports.

A C++ test framework for unit tests, behavior-driven cases, and basic micro-benchmarks.

Connect merchant collection with invoices and payment orchestration

A test-management and results platform that combines manual QA with automation data from CI.

Automate unit and regression testing for embedded C/C++ software, from test design to target execution and coverage analysis.

A test-management system for organizing test plans, cases, runs, execution status, and automation results.

Customer-profile orchestration that coordinates campaigns across connected sending systems

Run and coordinate existing test workflows across Kubernetes runners, then inspect their logs and artifacts.

Control and execution platform to govern AI, connect apps and data, and orchestrate workflows and agents

Collect automated test results in one place and analyze failures across test runs.