A Primary goal of software testing is to reveal potential failures by running tests. Testers use model-based testing to design abstract tests from models of the system’s behavior.
What makes model-based testing so unique is that it decouples the technical layer of an application (i.e., test data, test sequence, and logic) from the automation model. This makes test maintenance much faster and less error prone.
What are the Challenges with Legacy Tools for Testing?
For years Micro Focus (formerly HP) was the go-to solution for testing software. Today, not so much. Its legacy platform was built for yesterday’s software development environment — and simply can’t keep pace with today’s Agile development and delivery cycles.
Legacy testing platforms can present significant challenges to software development teams and can impede the development process. It is often advisable to replace legacy testing platforms with modern, more efficient, and effective testing tools to ensure that software testing remains up-to-date and relevant. Compatibility issues, Lack of support, Limited functionality, High maintenance costs, Security vulnerabilities, Lack of integration, Difficulty in scaling, limited test coverage are just a few of them. Such legacy QA tools impede agile initiatives which fail to accommodate new software delivery models.
Such traditional testing tools are scripted, require technical resources to build and maintain, and are brittle. All this contributes to low automation rates (<20%), which keeps software testing a bottleneck. The costs to run such legacy tools is also a significant hit to the company.
Benefits of Model Based Testing
The Model-based testing (MBT) approach applied to software testing that involves creating a model of the system under test and using this model to generate test cases automatically. There are several benefits of using MBT for testing your critical applications, including:
Improved test coverage: It can help improve test coverage by ensuring that all possible scenarios are tested, as the model used to generate test cases includes all possible combinations of inputs and outputs, check out the eBook: Setting Up Continuous Testing – Failing Early and Quickly
Generate new test cases faster: Help generate test cases faster, as the model used to generate test cases is created based on the requirements and specifications of the system, eliminating the need for manual test case creation.
Reduced testing costs: As the automatic generation of test cases reduces the time and resources required for manual test case creation and execution.
Detecting defects earlyon: As the automatic generation of test cases enables early testing, reducing the risk of defects in the final product.
Better traceability: Model used to generate test cases is created based on the system’s requirements and specifications, ensuring that all test cases are aligned with the system’s requirements.
Model based testing is a more detailed, rigorous and exhaustive way to test your critical applications like Oracle EBS, ERP, Fusion cloud, by using the models which you have created during DBA activities.
Tricentis Model Based Testing
Ease of use even by non-programmers who can rapidly create and manage sophisticated end-to-end tests, without waiting on technical resources. Maintenance-free to keep up with frequently changing applications through an approach that automatically updates impacted test cases and auto-fixes false positives. Faster time to value for enterprises who want to go from releasing software twice per year to once every two weeks with a codeless approach that delivers 90%+ test automation rates.
Key Features of the Tosca Model Based Testing
Maximize reuse: Build a module once by scanning any technology, and reuse it across multiple test cases to mimic end-to-end user transactions.
Dynamic object identification: Modify and adapt identifiers so each object is consistently and accurately identified during test execution — ensuring high resilience and reliability.
Reusable libraries and test step blocks: Build smart libraries with common workflows, test sequences, test cases, and modules which you can reuse over and over again.
Easy verification and validation: Easily validate expected application behavior through an approach that enables you to save variables and recall them for later verification.
Scriptless Model Based Test Automation: Moving from manual SQL scripting to scriptless model-based test automation can offer several benefits, including faster test creation and execution, reduced errors and increased reliability, improved test coverage, easier maintenance, and increased collaboration between testers and other stakeholders.
Vision AI
Tech that ‘sees’ like a human
Model-based test automation
Build codeless, resilient tests
Risk-based test optimization
Prioritize what you test
Service virtualization
Unavailable systems? No problem.
Test data management
Create stateful data easily
Distributed execution
Run multiple tests in parallel
API scan
Codeless API tests
Automation recording assistant
An easy way to set up test cases
Mobile testing
Native or hybrid, iOS or Android
Dashboards
Web-based reporting
Model creation: Tosca provides a user-friendly interface for creating models of the system under test. The models can be created based on the system’s requirements and specifications, and can include all possible scenarios and combinations of inputs and outputs.
Test case generation: Once the model is created, Tosca can automatically generate test cases based on the model. The test cases are designed to cover all possible scenarios and ensure complete test coverage.
Test execution: With Tosca you get a platform for executing the generated test cases. The platform can run multiple test cases simultaneously, enabling faster and more efficient testing.
Results analysis: For analyzing the results of the tests the platform can identify defects and provide detailed reports on the testing process and results.
Integration: Tosca Model based testing can be integrated with other testing tools and workflows, enabling seamless testing within the development process.
In the Gartner report Critical Capabilities for Software Test Automation, Tricentis continuous test platform has scored the highest scores among included vendors in the Multi Experience Development and Cloud Native/Migration and SaaS testing use cases. Consider Tricentis if your organization has a broad range of technologies to test and you want to author tests from a low-code/no-code approach and leverage a more modern model based testing approach.
With IT Convergence expertise in Oracle+Tricentis you can be rest assured to get On-time defect-free service delivery, Agility and nimbleness of our organization to tailor processes as per customer needs, and availability of automation expertise for Oracle Applications.
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