Improving Test Coverage using Model Based Testing

Improving Test Coverage using Model Based Testing

 

As a software tester, you already know that test design is one of the aspects of testing that takes the most time and effort. Still, it’s one of the most important things to accomplish to make sure the product or application is excellent. There are now ways to automate this task and make it easier for testers to make the right test cases quickly and correctly. In this blog post, we’ll look at methods of improving Testi Coverage using Model Based Testing approach.

 

 

What is Model Based Testing?

 

Model-based testing (MBT) is a test design technique that can be used to create test cases from business process models or workflows. Sixty-four percent of all costs related to bugs come from the requirements engineering and design phase. This means that less-than-clear requirements are the cause of more than half of all bugs.MBT makes requirements clearer by using diagrams that show requirements as mathematically precise visual flows. This makes the requirements engineering process more accurate. This helps to find requirements-related bugs much earlier in the life cycle and cuts down on code and test case rework. Because early defects would be found, the cost of quality would also go down.

 

How to implement Model-based Tests?

 

With the help of business process diagrams, testers can see what aspects of the software are being tested and find any gaps before the software is released. There are now tools that make it even easier to make these models. For example, Agile Requirements Designer’s Test Compass or other automated test design tools make it easy for testers to quickly create the fewest number of test cases that provide the most coverage. The business process models can be created in the tool or exported from MS Visio or Eclipse. If there isn’t already a business process model, either the business analyst or the testing team makes one. The method works best for making test cases for Regression Testing, System Integration Testing, and User Acceptance Testing, where the focus is on validating a workflow from start to end. One can also easily link the regression test cases to a workflow to make sure the test cases are traceable. 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. Let us take a deep dive into the capabilities of the Broadcom Agile Requirements Designer and TestCompass tool.

 

What are the capabilities of the Broadcom Agile Requirements Designer?

Agile Requirements Designer (ARD) is a tool for creating and managing software development project requirements. It is made to help teams streamline how they manage requirements and improve how they work together and talk to each other. The tool works with agile development methods and has features like tracking down requirements, doing an impact analysis, and integrating with other tools like JIRA and HP Quality Center. Requirements traceability is one of the most important things about ARD. This means that teams can keep track of how requirements relate to each other, from the first requirement to the final implementation. This is important to make sure all requirements are met and to find problems early on in the development process. The visual requirements modeling part of ARD is also an important part. This makes it possible for teams to make diagrams and models that help them understand and talk about requirements. This can help the team work together and talk to each other better and make it easier for stakeholders to understand what is needed. ARD also has a feature called “impact analysis,” which helps teams figure out what changes to requirements might mean for the whole system. This can help find potential problems early on in the development process and make it easier to handle changes to the requirements.

There are different levels of optimization, some of which are listed below.

  • Full Coverage: The flow is covered in every way that it could go. It is the least effective way to optimize, and it will always overtest.
  • All pairs of edges are covered: This option makes sure that every pair of decisions is made for every decision in the flow.
  • Maximal Coverage – All Nodes: Lists the minimum number of paths that make sure every block (every test step) is visited at least once.
  • All in/out edges are covered: Builds the smallest number of test cases needed to cover all pairs of in- and out-arrows for each decision.

What are the capabilities of the TestCompass tool?

The interface of TestCompass is clear and easy to use, which makes it very simple to use. Drag and drop the notes and add data and/or preconditions to make your Test Model. With just one click, it’s easy to generate highly optimized test cases. You can also do the BDD collaborative practices “Feature Mapping” and “Example Mapping” in Test Compass. One can add the Gherkin syntax to the model and the coverage-based Gherkin feature files will be made automatically. You can also model directly with Gherkin syntax and have the feature files automatically made based on a test coverage you choose ahead of time. The high level of abstraction in the Test Model is one of the things that makes the Test Compass useful. This will make it easier for everyone on your team to read. So, TestCompass can be used right from the beginning of the Software Development Life Cycle (SDLC) to find any loose ends.

Model-Based Testing (MBT) offers many advantages when compared to traditional manual testing. It increases test coverage, reduces costs, shortens execution time, and also minimizes the risk of false negative results. Furthermore, MBT enables the reusability of existing tests and it is pretty easy to reuse parts of the business process flow to design test cases for new features. These merits make it a great way to ensure accuracy and reduce the number of bugs in a system.