As enterprise IT evolves, software environments are becoming increasingly complex. Since businesses increasingly rely on hybrid setups with a mix of on-premise and cloud-based applications, traditional software testing methods struggle to keep up with the demands of modern systems like Oracle applications.
In a recent Oracular Tech Talk, we were in conversation with John Ray from Tricentis highlighted the significant role of model-based testing (MBT) in simplifying and accelerating testing. It is a powerful approach that simplifies, speeds up, and makes testing accessible to more people.
In this blog,
- What is Model-Based Testing?
- The Key Benefits of Model-Based Testing
- How Model-Based Testing Powers Oracle Application Testing
What is Model-Based Testing?
Model-based testing focuses on creating reusable test models instead of writing manual scripts for every test. As John Ray explained, MBT eliminates the need for extensive coding by using visual representations of the system under test. These models represent the screens, forms, and processes within an application and allow testers to manipulate these models to create test cases.
For systems like Oracle, which often connects many different applications, MBT provides a more flexible and scalable solution. It cuts down on manual coding and makes it easier to keep up with Oracle’s frequent updates and complex integrations.
The Key Benefits of Model-Based Testing
The discussion in the Oracular Tech Talk shed light on several key benefits of model-based testing, particularly in the context of Oracle applications:
1. Reusability and Efficiency
A significant advantage of MBT is the reusability of test models. Once created, these models can be applied across multiple test cases, drastically reducing the time spent creating new tests from scratch.
John Ray highlighted how this is especially important for Oracle’s quarterly updates, where businesses must run regression tests to ensure that new updates don’t disrupt existing functionalities. With MBT, companies can adapt and reuse models quickly for each update, ensuring fast and accurate testing without extensive rework.
2. Handling Complex Enterprise Environments
Oracle applications typically operate in hybrid environments that combine on-premise systems, cloud-based SaaS applications, mobile apps, and even legacy systems. This complexity makes end-to-end testing challenging.
Model-based testing addresses this by enabling testers to build multi-layered models representing the entire system workflow. From mobile applications to Oracle on-premise systems, testers can ensure that every step of a business process works as expected, regardless of how many systems are involved.
For example, a model can represent the flow of a sales order from an Oracle ERP system through various integrated applications, making it easier to test the complete process rather than isolated components.
3. Speeding Up Testing Cycles
In the past, companies took months to complete testing cycles between Oracle releases. Now, Oracle pushes updates every quarter, giving businesses only weeks to ensure their systems are functioning correctly.
Model-based testing helps companies speed up testing cycles. Testers can update models to reflect changes in Oracle environments quickly and run tests in a fraction of the time to keep up with Oracle’s fast release schedule without risking delays.
How Model-Based Testing Powers Oracle Application Testing
Oracle’s enterprise applications, such as ERP and SaaS solutions, power critical business functions, making testing a non-negotiable part of the software lifecycle. The complexity of Oracle’s architecture—often integrating multiple systems, databases, and workflows—demands a robust testing approach.
Tricentis’s Tosca platform, which is widely recognized for its model-based testing capabilities, enables companies to automate the testing of 180+ technologies and multiple environments, including on-premise, cloud, and SaaS applications. Tosca scans an application’s screens, creating visual models that can be reused across different test cases. This makes it easier for businesses to test complex Oracle workflows from end to end, ensuring seamless performance across all platforms.
As John Ray, a representative from Tricentis, noted in a recent discussion, the power of model-based testing lies in its ability to simplify testing while enhancing the coverage and speed of Oracle testing cycles. With Tosca’s model-based approach, organizations can manage Oracle’s frequent updates with confidence to ensure every new feature and integration point is tested comprehensively.
In summary, The power of model-based testing lies in its ability to simplify and accelerate the testing process while making it more accessible to a broader range of users. In a world where Oracle applications are central to business operations and updates are frequent, the need for fast, reliable, and reusable testing methods has never been greater. By adopting a model-based testing approach, companies can expand their testing capabilities, reduce manual effort, and ensure that even the most complex Oracle environments are tested efficiently.
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