ACCELQ is a cloud-based platform for continuous functional & API automation testing which utilizes ‘natural language programming’ and application abstraction to enable testing at any stage of app development. Out-of-the-box support is offered for a range of the latest application development technologies, including HTML5, Bootstrap, Kendo, and Google Material design, and dynamic web app technologies such as Angular JS.
ACCELQ’s App Universe and predictive scenario designer enable the development of test scenarios based on path analysis and predictive analytics, and unique test data permutations are determined to provide coverage for all possible business process scenarios. Application abstraction enables test planning, design, creation and execution alongside application development, so progress can be made at any level of application availability, stability or readiness. The reconciliation engine automatically realizes the abstraction when the app is ready for launch.
"Natural Language programming" in ACCELQ allows users to develop test logic using natural English instead of code, with the aim of making the process of building complex navigation and business validation logic more intuitive.
QA Wolf is the first data-driven QA solution that gets engineering teams to 80% end-to-end automated test coverage quickly.
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This is pretty cool - the Jira/Linear integration could save a ton of manual work. How do you handle test data setup and teardown? That's usually where these workflows get messy. For alternatives in this space, there's qawolf (https://qawolf.com) for similar automated testing workflows, or I'm actually building bug0 (https://bug0.com) which also does AI-powered test automation, still in beta. For the more... - Source: Hacker News / 18 days ago
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