Sofy Co-Pilot
Automate test case creation with AI prompts, boosting efficiency by 300%.
Executive Summary
Sofy Co-Pilot is an AI-powered testing assistant designed to significantly enhance the efficiency of software testing. It leverages artificial intelligence to translate step-by-step instructions of manual test cases into fully automated test cases. This capability allows development and QA teams to drastically reduce the time and effort traditionally spent on test creation. By automating this crucial step, Co-Pilot aims to increase overall testing efficiency by up to 300%. This product is part of Sofy's broader no-code testing platform, enabling users to create robust automation without extensive coding knowledge. It integrates seamlessly into existing testing workflows, supporting various interfaces like GUI, Fiori, and API, and aims to streamline the entire test automation process from creation to execution.
Use Cases
- Automating existing manual test cases into executable scripts.
- Accelerating the creation of new test automation scripts.
- Reducing the time and resources required for test case generation.
- Enhancing overall test coverage and efficiency in mobile app development.
Features
Visibility
- Sofy Dashboard: Centralized platform for managing and executing automated tests, including those generated by Co-Pilot.
Intelligence
- AI-Powered Test Case Generation: Translates natural language manual test steps into automated test scripts using AI prompts and trained models.
Support
- Help Documentation: Access to comprehensive support documentation for using Sofy and its features, including Co-Pilot.
Technical Specifications
- Deployment
- SaaS
- API Available
- Yes
Integrations
- SAP
Pricing
- Model
- Subscription-based
- Starting Price
- Contact sales
- Target Customer
- Mid-Market,Enterprise
- Free Trial
- Yes
About Sofy
Sofy is a no-code, AI-powered platform for mobile app testing, enabling QA teams to automate testing on real devices without writing a single line of code. It offers scriptless automation, self-healing tests, and a cloud device lab to streamline the mobile application development lifecycle.