Why Use Model-Based Testing?

Why Use Model-Based Testing?

Model-based testing is a technique that can be used to generate test cases from a workflow or business process model. There are many benefits to using this approach, including improved coverage, better maintainability, and increased efficiency. Today we will take a detailed look at each of these benefits.

One of the main benefits of model-based testing is that it helps to ensure coverage. The test cases cover all positive and negative paths and combinations. This type of testing also has the benefit of being able to cover more complex scenarios that might be difficult to test with other methods.

Another advantage of model-based testing is that it helps to maintain test cases over time. This is because the workflow can be updated, and the test cases can be regenerated accordingly. This means you won't spend as much time manually updating your test cases when there are changes to the underlying system.?

Finally, model-based testing is a more efficient way of doing things. This is because an automated process is used to design that test cases with the help of tools. This saves a reasonable amount of time that would otherwise be spent on manually developing test cases. Additionally, documented workflows will help reduce the dependency on SMEs and can be used for future reference.

Several proven tools, like the Broadcom Agile Designer and Test Compass, support the generation of test cases from business process models.

Model-based testing is a powerful technique with many benefits. These benefits include improved coverage, better maintainability, and increased efficiency. In addition, when used correctly, model-based testing can help you save time and improve the quality of your software tests.

Aniket Shriwas

Software Test Team Lead @Amdocs | Ex IBMer Accenture | Telecom BSS, OSS (Billing,Provisioning ) | Azure cloud | Power BI |GenAI Certified | Digital One solution expert | MBT | OTOMA Expert | Team Management

1 年

George Ukkuru - For MBT, OTOMA might be an option to consider

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James Bach

Founder of Rapid Software Testing Methodology, Instructor, Consultant

2 年

Since all intentional testing is model-based, this should have been called something like Automatic Test Data Synthesis Based on Specified Models and Sampling Heuristics. It’s a cool idea.

Jim Hazen

Software Test Automation Architect and Performance Test

2 年

Let's be clear. This talks about using modeling techniques to define how a SUT works (workflows) and then can generate test scenarios/test cases (and data if capable). It covers some of the tools that support this methodology/process. Something that can be confusing for people is there is also a Model Based Testing Automation Framework architecture. It is also based on models defined for the system, but tend to be more of a Finite State Machine (FSM) approach. The MBT automation framework has been around for over 20 years. Harry Robinson and James Whittaker (both Microsoft and Google) implemented these to test the systems they worked with (mainly API's from what I know about). And there are also RPA (Robotic Process Automation) tools that employ "models" like BPMN (Business Process Model & Notation) to accomplish their work. The main benefit I see coming from modeling is the saying of "A picture paints a thousand words."

I enjoy using models both to derive interesting cases and to drive an automated exercise of the application. What I find an interesting topic that I don't believe gets enough discussion are the challenges of model-based testing. There was a big interest in it over ten years ago, and people started talking about it like it was a panacea before settling into more pragmatic understandings of the advantages and limitations.

Silvio Cacace

Software tester @Rabobank / Owner-founder @TestCompass, the early based & easy to use Model Based Testing tool (eMBT) and Behavior Driven Development (BDD)-supported collaborative modeling tool in the cloud

2 年

Thanks George Ukkuru for mentioning TestCompass in your article.

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