In order to fasten software development and thus increase the frequency of releases, automated processes are needed that save resources and at the same time ensure quality. Test automation tools are already used in the software testing phase. Test automation in software development takes place in various areas in application technology. Depending on the technology, there are specific tools for test automation. Even within each technology, tests are not platform independent. Different tests may need to be developed for different environments.
Easy, better and faster
In practice, standardized test management without artificial intelligence often involves a large amount of maintenance. Test management usually requires experienced persons for test development. However, everyday and recurring tasks can be taken over by an artificial intelligence (AI).
Intelligent test automation simplifies and improves test creation, execution, and maintenance through AI-powered automation. AI-based machine learning and advanced OCR provide advanced object recognition. Combined with AI-based mockup identification, recording, text matching, and image-based automation, teams can reduce test creation and maintenance time as well as increase test coverage, resilience, and test resources.
Advantages of test automation with artificial intelligence
- Intuitive test scripts
- Technology independent tests
- Visual object recognition
- Easier maintenance of tests
- One test for all platforms
- Programming skills are not required