What Automated Testing Means for Fintech and How to Measure Success

What Automated Testing Means for Fintech and How to Measure Success


Automation testing is one of the most important part in Fin-Tech. Testing with automate tools like Selenium, Testdroid & Sauce Labs are giving the results which is more reliable and faster in the comparison with manual testing. Nowadays automation testing is becoming more popular in fin-tech sector. There are many companies which are using automated test to enhance the quality of product in time to time.


We will talk about how to track success metrics related to automation testing in our article today.

The importance of Automation Testing in FinTech

FinTech is a booming industry, and it’s growing at an exponential rate. In the past five years alone, there have been over 200 FinTech acquisitions by Fortune 500 companies. This growth is due largely to FinTech’s ability to reduce costs through cost-saving automation processes.

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However, this expansion has also brought with it some challenges that need to be addressed before automation can truly make a difference in helping companies save money and increase efficiency. One of these challenges is how to ensure that your application functions properly when changes are made to the code used to automate it. If you do not know what changes have been made in the past or if they might have any impact on existing processes, then your application could fail when those changes are made—which could mean lost revenue or even the failure of your entire business model.

This is where automated testing comes into play; it provides an objective way for developers and testers alike to test their code for errors without needing access

The importance of automation testing in financial technology (fintech) is huge because it emphasizes both speed and accuracy. Fintech companies are expected to provide services quickly and efficiently, so they need to ensure that their systems are running smoothly before they go live. Automation Testing can help with this by performing tests on a regular basis and gathering data about how well the system functioned during each run. That way, if something goes wrong during testing, there will be an easy way to pinpoint why it happened without having to wait for manual analysis or human error on behalf of the programmer who wrote the code in question.

Why is it Important to Track Success Metrics of Automation Testing?

Automated testing is a big part of the software development process but it’s important to monitor and measure the success of your automated tests so you can make sure they’re giving you the results you need. For example, if all your automated tests are failing, then there may be an issue with your code or a bug in your code. You will need to fix that before you can get any meaningful results from your automated tests.

This allows you to make quick changes that will improve the customer experience without having to wait for a new version of your software to be released. If there is an error that occurs frequently, it might be because there’s something wrong with your application logic or with how data is stored in your database.

How to Track Success Metrics of Automation Testing in Fintech?

In the financial services industry, many people are using automation testing for testing purposes. However, not everyone knows how to track success metrics in the financial industry. In fact, most people do not know what success metrics are or how they can be used to measure the quality of an automated test suite. Some of the most common metrics include:

  • Set goals. If you are using automated testing tools, it is important to have a clear idea of what your organization wants from the process. For example, if your goal is to increase test coverage by 10%, then you need to figure out how many tests are in place and where they are failing (or not failing).
  • Measure progress. Once you have set goals and tracked them over time, it is time for measuring results! This can be done by looking at how often bugs were found during testing or how much time was spent on each project step in order to measure success as well as any other relevant metrics like defect density or code complexity index score etc.
  • Look at what worked/didn’t work – this will help identify why certain types of bugs occur more often than others so that we can improve upon them in future iterations of our software development process


Considering the situation in fintech industry, the organization wants to design the automation testing process that can cope up with the changing business requirements. Automation tests need to be added, removed, or modified without impacting existing functionalities and data. When such a situation occurs, manual regression testing is needed as well as a lot of time and effort. With all that said, there is no other option than automation testing.

Of course, this is not easy to do and that’s why Cogniwize is here to help. We have the expertise to identify and prevent quality issues by using a mix of manual testing, performance testing and compatibility testing. Contact us with your queries now.