Data mining is the extraction of consumer information from a database by utilizing software that can isolate and identify previously unknown patterns or trends in large amounts of data. There is a variety of data mining techniques that reveal different types of patterns. Some of the techniques that belong here are statistical methods (particularly business statistics) and neural networks, as very advanced means of analyzing data.
We are grateful that in today’s tech landscape, there are many excellent applications—either as open source or freeware—available for free. Our team believe that test automation is an essential part of creating great software; so we initially developed Katalon Studio as a tool for ourselves. Until now, it has been widely adopted by the global testing community.
Kathy Yakal has been annoying computer magazine editors since 1983, when she got her first technology writing job because she tagged along with her ex-husband on a job interview. She started freelancing and specializing in financial applications when PCs became financial tools for consumers and small businesses (after a stint at a high-end accounti... See Full Bio
Robust GUI test automation begins with the reliable object identification provided by Ranorex Spy. This tool can be used alone or from within the Ranorex Studio environment to deliver industry-leading recognition of GUI objects and controls, and ensure that each user interface element is uniquely identified using the powerful RanoreXPath syntax. Information on identified objects can be shared with team members through snapshot files, or stored in the Ranorex object repository for use in automated tests. The object repository in Ranorex Studio manages identified UI objects, so that they are editable and re-usable across testing projects. Features of the repository include the ability to assign meaningful names to repository objects to make them more maintainable, set default values, or link objects to parameter values. Ranorex Studio tools support best practices in automated test case design, including separation of test data from procedures, use of local and global parameters to pass values, and easily reusable code modules that can be shared by the entire team.