testsigma

What is testsigma?

testsigma is an agentic test automation platform that uses AI agents to generate, execute, and maintain tests for web, mobile, API, and Salesforce applications. It targets QA and engineering teams by mapping code commits to test coverage and producing release confidence scores. Access requires connecting project tools like Jira and GitHub, with a demo available for enterprise evaluation.

What are the features of testsigma?

• AI test generation

  Agents create plain-English test cases from Jira tickets, session recordings, prompts, or sprint context across four plan types: Smoke, Feature, Regression, and Deep Regression.
• Self-healing locators

  The system detects UI changes and proposes locator fixes automatically to keep automated tests functional without manual maintenance.
• Release confidence scoring

  Combines pass rate, coverage percentage, and critical path analysis into a single score indicating whether a release is ready to ship.
• Cross-platform execution

  Runs tests on over 2,000 browser and OS combinations and over 800 real iOS and Android devices in parallel.
• API test import

  Generates validations and request chains from Postman collections or OpenAPI specifications for REST, SOAP, and GraphQL endpoints.
• CI/CD integration

  Triggers test runs from Jenkins, GitHub Actions, Azure DevOps, or CircleCI pipelines and returns results to collaboration and bug-tracking tools.

What are the use cases of testsigma?

• Salesforce regression testing

  Automates tests across Lightning, Classic, CPQ, and custom objects, resolving shadow DOM elements using metadata instead of dynamic IDs.
• Sprint-level release gating

  Maps every developer commit to user stories and generates missing tests so QA teams can evaluate deployment readiness before the release meeting.
• Mobile cross-device validation

  Executes a single native, hybrid, or Flutter test script across multiple real iOS and Android devices simultaneously.

How to use testsigma?

1. Connect sources

   Link Jira and GitHub to map commits, pull requests, and user stories to the testing surface.
2. Review generated plans

   Evaluate the AI-generated Smoke, Feature, Regression, or Deep Regression test plans written in plain English.
3. Accept and automate

   Approve test cases to convert them into automation scripts, optionally attaching data sets or enabling visual checks.
4. Execute in pipeline

   Run approved tests in parallel against real browsers and devices triggered via CI/CD.
5. Evaluate release gate

   Review the combined coverage and confidence score to determine if the release threshold is met.

testsigma Pricing Information:

• Free trial

  Available to start; specific quotas are not stated in the source.
• Paid plans

  Scale based on parallel runs, seats required, team size, execution needs, and enabled capabilities.
• Enterprise plan

  Custom pricing including SSO/SAML, compliance features, audit trails, on-premises or hybrid deployment, and a dedicated customer success manager.