Amazon Web Services delivers code on average every 11.7 seconds and Netflix deploys code thousands of times a day. Big bang releases, which are worked on for months or years and go live with a big bang all at once, no longer meet the needs of today’s world. Ever-shortening release cycles make it clear that constant, rapid updates are the new normal for software applications, and that any company that can’t keep up risks losing out. This ends up affecting not only the giants, but smaller organizations as well.
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
UFT One – The Tool for Test Automation with Artificial Intelligence
The UFT One tool from Micro Focus is used for these purposes. Within this tool, tests based on artificial intelligence can be recorded, repeated and maintained. Test maintenance is made easy because an object that changes location, UI framework, or even shape does not corrupt the test script as long as the object remains visually similar or its purpose remains clear. Overall, resilient testing reduces test maintenance overhead. In addition, test automation with UFT One is designed to be intuitive, therefore no programming knowledge is required.
Amazon Web Services delivers code on average every 11.7 seconds and Netflix deploys code thousands of times a day. Big bang releases, which are worked on for months or years and go live with a big bang all at once, no longer meet the needs of today’s world. Ever-shortening release cycles make it clear that constant, rapid updates are the new normal for software applications, and that any company that can’t keep up risks losing out. This ends up affecting not only the giants, but smaller organizations as well.
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
UFT One – The Tool for Test Automation with Artificial Intelligence
The UFTOne tool from Micro Focus is used for these purposes. Within this tool, tests based on artificial intelligence can be recorded, repeated and maintained. Test maintenance is made easy because an object that changes location, UI framework, or even shape does not corrupt the test script as long as the object remains visually similar or its purpose remains clear. Overall, resilient testing reduces test maintenance overhead. In addition, test automation with UFT One is designed to be intuitive, therefore no programming knowledge is required.
Amazon Web Services delivers code on average every 11.7 seconds and Netflix deploys code thousands of times a day. Big bang releases, which are worked on for months or years and go live with a big bang all at once, no longer meet the needs of today’s world. Ever-shortening release cycles make it clear that constant, rapid updates are the new normal for software applications, and that any company that can’t keep up risks losing out. This ends up affecting not only the giants, but smaller organizations as well.
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
UFT One – The Tool for Test Automation with Artificial Intelligence
The UFTOne Tool from Micro Focus is used for these purposes. Within this tool, tests based on artificial intelligence can be recorded, repeated and maintained. Test maintenance is made easy because an object that changes location, UI framework, or even shape does not corrupt the test script as long as the object remains visually similar or its purpose remains clear. Overall, resilient testing reduces test maintenance overhead. In addition, test automation with UFT One is designed to be intuitive, therefore no programming knowledge is required.
What we can expect in the future
So far, only mobile or web applications can be tested with Artificial Intelligence in UFT One. Due to all the positive effects Artificial Intelligence has on test automation, we are convinced that in the future the majority of automated test cases will be based on AI technology and more and more desktop applications will be supported for testing.
The general requirements, for AI-based web and mobile testing with UFT One can be found here.
This article was co-authored with Nikolay Peshev, one of our technical consultants for Micro Focus products.
What we can expect in the future
So far, only mobile or web applications can be tested with Artificial Intelligence in UFT One. Due to all the positive effects Artificial Intelligence has on test automation, we are convinced that in the future the majority of automated test cases will be based on AI technology and more and more desktop applications will be supported for testing.
The general requirements, for AI-based web and mobile testing with UFT One can be found here.
This article was co-authored with Nikolay Peshev, one of our technical consultants for Micro Focus products.
