Today’s core business processes are much broader and more complex, often crossing multiple technologies, architectures, and deployment models. The average organization now uses more than 900 applications, and a single workflow might touch dozens of these applications via micro services and APIs.
While it was previously possible for software testing teams to test separate business processes on an application-by-application basis, they now frequently must run multiple parallel tests in order to validate end-to-end process performance. Automating these tests makes it possible to both improve test coverage and reduce testing timelines.
- Why legacy, script-based tools fall short
Legacy test automation tools were built for waterfall development, when teams were managing only a few releases a year. Almost everything has changed since then.
Expensive to build and maintain
Scripts are cumbersome to maintain when developers are actively working on an application. The more frequently the application evolves, the more difficult it becomes to keep scripts in sync.
Limited test automation capabilities
While legacy tools can theoretically be used to automate regression testing, many users report that regression testing still takes weeks, most commonly due to low test automation rates. In the era of two-week Agile sprints, that kind of timeline is no longer acceptable.
Inadequate end-to-end test coverage
Today’s complex environments require more than automated regression testing. A complete test automation solution should simplify test automation at the UI and API layers, as well as across end-to-end business processes.
- Welcome to Script less, model-based test automation
Script less Test Automation allows you to keep up with accelerated release processes by significantly reducing the time, effort, and resources required to test application releases.
Model-based test automation enables a high level of test case reuse, which makes it easier to build and maintain comprehensive automation for end-to-end business process tests – with low/zero coding skills required. This reduces testing timelines, as well as the risk of business disruption, by exposing potential errors and defects before they can impact your production environment.
Achieve new levels of Test Efficiency through Continuous Testing
Model-based Test Automation enables Continuous Testing that brings new level of Test Efficiency which directly drives down product development time and costs, improving your bottom line. Continuous Testing—provides real-time insight into risk with business-focused, actionable results including:
- Helping the entire team collaborate to quickly expose critical defects
- Integrating testing directly into CI/CD pipelines and “best of breed” DevOps ecosystems
Simplify E2E Functional Testing from a Single Interface
Automate tests across all layers of modern enterprise architectures—from the API, to web, mobile, and custom/packaged app UIs, to BI and data warehouses. Embrace and extend your existing tests (e.g., Selenium, SoapUI, HP UFT) with ease. Centralize your functional testing efforts across different application layers and tools (including Selenium, HP UFT, and SoapUI). From a single intuitive interface, you can rapidly define end-to-end tests across multiple technologies (UI, API, SAP, mobile…), analyze test results, and automatically update tests as the application evolves.
Easily Maintainable Test Automation
Unlike legacy test platforms, Model based Test Automation enable sustainable test automation for today’s fast-paced development processes. Model-based test automation relieves the “maintenance burden” that undermines test automation initiatives. When business processes change, just update the model, and impacted tests are automatically synchronized. Easily determine the most efficient set of test cases and test data for optimal risk coverage. This accelerates test execution, plus facilitates maintenance and debugging.
Use IT resources more effectively
Automation eliminates the burden of manual software testing. This releases potentially tens of thousands of expensive and limited resource hours each year–giving CIOs and their teams much more opportunity to research new IT innovations and bring them to market more quickly.