MATLAB vs. Visual Studio Test Professional

MATLAB really does best for solving computational problems in math and engineering. Especially when you have to use a lot of functions in your solving process, or if you have a nonlinear equation that must be iteratively solved. [MATLAB] can also perform things like integration and derivation on your equations that you put into it.

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It would be well suited if we used it with Azure DevOps as we can effortlessly integrate the test cases and even stories or tasks to stay on track with our work. Those test cases can even be reused across multiple projects. Using any other third-party tools, such as Jira, can be less appropriate, as it's not a Microsoft tool, and its capabilities will be limited.

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• It has a very user friendly library which helps users learn this software fairly quickly in a short span of time.
• The graphical user interface provided by the software is really good.
• The code that a person writes allows options for debugging.
• One can visualize the flow of control of their code inside MATLAB.

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• Availability of the desktop client or the web interface. The web interface being the favorite and providing a better experience.
• It enables you to write unit tests with so much ease.
• Allows the recording and repeating of manual tests
• It can be set up for collaboration.

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• MatLab is pricier than most of its competitors and because of this reason, many organizations are moving towards cheaper alternatives - mostly Python.
• MatLab is inefficient when it comes to performing a large number of iterations. It gets laggy and often crashes. Python is better in this regard.
• There is a limited number of hardware options (mostly NI) that can be connected directly to the data acquisition toolbox.

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• The user community of the Visual Studio Test product is weak. For instant problems with this product, it is necessary to quickly reach the source of the error.
• Licence fees need to be more reasonable. License prices need to be reduced so that they can easily compete with free testing tools.

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MATLAB is pretty easy to use. You can extend its capabilities using the programming interface. Very flexible capabilities when it comes to graphical presentation of your data (so many different kinds of options for your plotting needs). Anytime you are working with large data sets, or with matrices, MATLAB is likely to be very helpful.

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It is very usable if you are familiar with Visual Studio to begin with. If you are new to the interface, it can be a long ramp up period for Testers not used to the GUI. There is always the web option which seems to be more intuitive for many Testers.

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The built-in search engine is not as performing as I wish it would be. However, the YouTube channel has a vast library of informative video that can help understanding the software. Also, many other software have a nice bridge into MATLAB, which makes it very versatile. Overall, the support for MATLAB is good.

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Visual Studio Test Professional is backed up by the full support of the Microsoft Corporation. That means twenty-four/seven customer support by quality, highly-trained professionals who understand every possible issue that you have experienced before. They are nice, efficient, and highly professional. I recommend them.

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How MATLAB compares to its competition or similar open access tools like R (programming language) or SciLab is that it's simply more powerful and capable. It embraces a wider spectrum of possibilities for far more fields than any other environment. R, for example, is intended primarily for the area of statistical computing. SciLab, on the other hand, is a similar open access tool that falls very short in its computing capabilities. It's much slower when running larger scripts and isn't documented or supported nearly as well as MATLAB.

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The visual Studio Test tool is faster than other tools. Since the development and testing processes are in one tool, it is more profitable in terms of cost. It is more inconvenient to write a test case in DevOps.

• MATLAB helps us quickly sort through large sets of data because we keep the same script each time we run an analyzation, making it very efficient to run this whole process.
• The software makes it super easy for us to create plots that we can then show to investors or clients to display our data.
• We are also looking to create an app for our product, and we will not be able to do that on MATLAB, therefore creating a limiting issue and a new learning curve for a programming language.

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• One of the positive ROIs of Visual Studios is the fact that it makes producing our work at a quick rate, things like Intellisense make our work get produced at a much higher rate which is good for our return of investment.
• Testing by the developers has increased by 23%, we now take the time to actually test our product before we send it to our QA people.
• I am not aware of any negative ROI aspects to our company that have been found.

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