Choosing the framework for your project comes down to deciding what guidelines will produce the desired results of the automated tests. Often, developers end up designing a custom framework. This requires experienced testers and dedication to planning for the changes that may arise while implementing the automated testing. In some cases, an existing automation tool already has the functionality necessary to achieve the desired result of automated tests.
Take a step up from Google Sheets or Excel by moving your data over to a real database. In the past, databases have been the reserve of the IT team, but with tools like Airtable and Fieldbook, non-technical teams can easily get the power of relational databases to create their own tools and systems (like we did for our content asset tracking, as explained here).
Test automation on the other hand is the automated execution of predefined tests. A test in that context is a sequence of predefined actions interspersed with evaluations, that James Bach calls checks. These checks are manually defined algorithmic decision rules that are evaluated on specific and predefined observation points of a software product. And herein lies the problem. If, for instance, you define an automated test of a website, you might define a check that ascertains a specific text (e.g. the headline) is shown on that website. When executing that test, this is exactly what is checked—and only this. So if your website looks like shown in the picture, your test still passes, making you think everything is ok.
The next phase in the evolution of business software is being led by the emergance of Robotic Process Automation (RPA), which involves identifying and automating highly repetitive tasks and processes, with an aim to drive operational efficiency, reduce costs and limit human error. Industries that have been in the forefront of RPA adoption include the Insurance industry, Banking and Financial Services, the Legal industry and the Healthcare industry.
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.