by Analytics Insight

22 November 2021

Meaning of end-to-end (E2E) testing

The workflow of any software application can make or break its usability and reputation. It is not uncommon for software developers to adopt different methods of testing applications. But end-to-end testing or e2e testing done using 3D modeling has become something they swear by.

A typical end-to-end testing scenario involves the use of a testing methodology that shows the workflow of a software application from start to finish. Essentially, e2e testing seeks to create mimics of real user scenarios, which ultimately validate the system for data integrity and integration.

Enter 3D modeling software testing

When 3D modeling software is part of the equation, the entire process of develop and run e2e tests is transformed. Creating remarkable and engaging software applications requires active visualization, and 3D modeling can be a boon to the overall design process.

Here are some reasons why 3D modeling software may be the best solution for performing e2e testing:

1. Allows you to quickly spot faults

Some design errors often fall into the blind spot of software developers. It happens to the best of them. But with the testing of 3D modeling software, the detection of these defects becomes much faster. The design of the app incorporates a variety of geometric elements. Inspection of complex shapes and overall design becomes easier with 3D modeling software, as every corner of the application is brought to light.

2. Ensures optimal use of resources

Software developers have come a long way from the days of 2D modeling, which failed to create the real feel of app design. This often entailed a lot of expense as developers had to keep building prototype after prototype to come up with something remarkable. However, with 3D modeling software, developers can fine-tune their models and evaluate the design aspect holistically. The e2e testing process becomes much more cost effective as the evaluation would require less resources.

3. Increases the versatility of production

3D modeling software testing allows software developers to create a variety of shapes, allowing them to get the most out of their creativity. When e2e testing is done using 3D models, it’s easy for everyone on the team to be on the same page when it comes to overall design and flow. The models have a depth that is really reflected during the testing process. As such, software developers can overcome creative limitations and gain more control over application design by using 3D modeling software testing.

4. Improves consistency

The ultimate goal of every software developer should be the accuracy of the codes that define the UI / UX of the application. Consistency in an app’s workflow is something UI designers can’t rule out. With the help of 3D modeling software testing, achieving high levels of precision and consistency in design becomes easier than developers can imagine. It allows development teams to incorporate more details into the app design and present a clear picture to stakeholders.

5. Increase efficiency

It should be noted that testing 3D modeling software makes it easier for developers to modify their iterations. It’s only natural that application prototypes would need a few modifications during e2e testing before the final product is ready. 3D modeling allows developers to preview these changes from different angles, giving them a better picture of the interface and functions of the application. All of this is possible in a short period of time because these software test templates are user-friendly, nimble, and fast.

Here are some of the many benefits of using 3D modeling software for e2e testing. There isn’t a single example of end-to-end testing, but developers should be on the lookout for the latest testing trends to deliver the best software applications.

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Analytical analysis

Analytics Insight is an influential platform dedicated to insights, trends and opinions from the world of data-driven technologies. It monitors the developments, recognition and achievements of artificial intelligence, big data and analytics companies around the world.

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