Data-Driven and Model-Based Test Automation for OpenText UFT One
Out of the various automation tools available in the market, Unified Functional Testing (UFT) One by OpenText is a great tool, especially for carrying out automated regression and functional testing. As a commercial tool, UFT One even permits open-source integrations with Selenium. Testers who have mastered the use of this tool commend it for working with numerous platforms, such as mobile, web, and desktop apps. One of UFT One’s greatest assets is its ‘smart’ AI inclusion, which enables it to visually identify objects based on context, images, and text.
If you think UFT One is only advantageous for creating robust test scripts, then there is a lot more you need to grasp a hold of!
Data-driven testing (DDT) and model-based test automation for UFT One are an excellent combination for providing accurate data for every test on demand while also improving the management of fast-changing, complex software systems. We at ImpactQA are OpenText Gold Partners and have figured out how to get the most out of the intriguing set of tools the company provides.
This blog will highlight the use of DDT and model-based testing in UFT One and how it can be better utilized for your business benefit.
Data-driven Testing with UFT One
In data-driven testing, you have the separation of test logic from test data. This permits the re-utilization of test scripts covering multiple data sets. Therefore, the testers can manage test iterations involving varying inputs to successfully cover a broad array of scenarios.
Advantage of DDT in OpenText UFT One
Below mentioned are the various advantages of data-driven testing in UFT One:
A single test script is executed involving various data sets leading to vast test coverage without soaring script complexity.
2. Easy Maintenance
Testers can easily add/modify data sets causing no tampering with the core test script framework.
Scripts are made reusable after separating test logic from data.
DDT Implementation in UFT One
UFT One includes features for setting up tests and connecting to external data sources (Excel sheets, databases, etc.). By doing this, testers are enabled to smoothly feed in data variations without the need to change/modify the test script. Test execution is streamlined against different data sets with the active use of data tables made available by UFT One.
Model-based Testing (MBT) with UFT One
It involves building models that depict a software system’s anticipated behavior. Test cases are automatically generated by these models. Using this technique, test coverage is increased, and tests are made to closely resemble the desired system behavior.
Advantage of MBT in OpenText UFT One
Accurate Test Coverage: Under MBT, the models highlight specific scenarios, thereby guaranteeing comprehensive test coverage.
Enhanced Traceability: Testers get to access clarity along with mapping when it comes to models, requirements, and created test cases.
Early Bug Identification: After constructing tests from models, the bottlenecks can be identified early in the development cycle.
Implementing MBT Principles with UFT One
1. Tool Compatibility
Examine MBT plugins/tools that are UFT compatible to generate models within the UFT environment without much effort.
2. Visualization Competencies
Make use of the different UFT features or related tools to generate visual depictions of system behavior.
3. Script Creation
Use compatible plugins as part of UFT’s features to automate the creation of test scripts from generated models.
Accelerate and Optimize UFT Test Automation with MBT
OpenText UFT One has placed itself as an elite application testing tool in the arsenal for top-tier IT and Services enterprises. There is no denial when we say that UFT is one of the best-breed frameworks to carry out functional test automation. Moreover, it has established a leading reputation among QA teams when they encounter complex system testing.
Here are a few ways in which model-based testing (MBT) can automatically generate optimized UFT tests. The purpose is to surpass system complexity and dwell close collaboration between non-coders and coders.
Simplified Test Scripting
With the inclusion of a model-based approach, testers can create test suites even for complex systems without the need for any coding expertise. This is because the existing code can be reused and that eventually proves useful for script creation. In simple terms, automation does not require any skill for non-coders, thereby enabling the generation of visually complex system tests.
Maximum Test Case Coverage
The implementation of model-based test creation makes use of computer processing that does the magic. Within minutes, mathematical algorithms applied to logical models can assist in identifying every path and test included in the flowchart.
The best approach to guarantee testing severity is through automated test design. Software engineers can systematically find every test that could be included in the modeling logic and deliver a trustworthy way to determine when the testing is accomplished.
We can see it as an exquisite approach to maintain test coverage that enables automation focused on specific system functionality and not carrying out optimization only based on logic. Testers see it as a targeted approach that triggers risk-based regression testing that spotlights high-risk, newly added functionality.
This specific approach concentrates on automation, which offers the greatest advantage for identifying serious bugs. The ultimate objective is to reduce the amount of time and expense these issues/bottlenecks can create.
OpenText UFT One is majorly used by businesses that have 10,000+ employees and generate revenue greater than 1000 million dollars. Organizations like Infosys, eBay, Fujitsu, etc, rely heavily on the test automation prowess of UFT One. To achieve timely results, having hands-on experience and training for UFT One is required. ImpactQA has a dedicated team of testers for test automation services well-versed in UFT One and has worked on multi-industry projects. Leverage our test automation expertise involving state-of-the-art tools to streamline your test cases, enhance test coverage, and optimize system operations.