How Functionize Improves Software Testing

Functionize improves software testing in a number of ways, including: Increased test coverage: Functionize’s AI can help testers to identify and cover more test cases than would be possible manually. This can help to improve the quality of the software by reducing the number of bugs that reach production. Reduced test maintenance: Functionize’s self-healing tests […]

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Test Creation and Autonomous Test Creation | Functionize

Test creation is the process of designing and developing test cases to verify that a software application meets its requirements and is free of defects. Test creation is a critical part of the software development process, as it helps to ensure that the software is of high quality and reliable. Autonomous test creation is a […]

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Functionize Self Healing with Machine Learning Demo | Functionize

The Functionize Self Healing with Machine Learning demo shows how Functionize uses machine learning to heal automated tests, even when the underlying application changes. The demo begins with an overview of the Functionize platform and how it uses AI and machine learning to speed up testing time. It then shows how Functionize Self Healing works […]

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Why Test Automation Needs Machine Learning | Functionize

Test automation needs machine learning because it can help to: Functionize has developed one of the world’s most advanced AI models for test automation. Our platform is able to slash test maintenance and eliminate test debt. But this was only possible thanks to the vast volume of data we have collected. Here, we look at […]

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Next Level Testing with Lisa Crispin | Functionize.com

Whole Team Tools: Using Visual Models to Build a Test Automation Strategy Visual models can be a powerful tool for building a test automation strategy. They can help to: Communicate and collaborate: Visual models can be used to communicate and collaborate with team members, including non-technical stakeholders. This can help to ensure that everyone understands the […]

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