How Automated Testing Helps Banks Evolve Their Testing Cycles

The banking technology landscape has transformed due to digitization, bringing about a distinct set of problems. Through digital platforms, there has been a significant rise in customer-facing apps and services. The foundation of each bank is its legacy systems, on top of which these new technologies have been developed. 

The integration points with the old back-end applications have grown more complicated due to the penetration of new digital technologies. Banks must include test automation programs to Test Banking Applications as a fundamental component of their digitization strategy because every banking transaction passes through various software applications and platforms. In this article, we will learn how automated testing helps banks evolve their testing cycles.

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The Current Crisis in Banking

Banks quickly transitioned to being entirely virtual when the pandemic struck the world. COVID-19 hastened the digital transformation of banks, and In 2021, Deloitte’s study of US banking revealed that organizations that had made strategic technology investments fared better than those that had not. 

Rapid adjustments are needed to address this dilemma; test automation must combine technologies like machine learning and analytics to balance speed and quality. Banks should consequently be sensitive to how intelligent test automation determines the path to organizational maturity.

How Automated Testing Helps

You may make sure the following using thorough automated testing for banking software:

  • Sensitive data is protected while operations are being carried out.
  • Financial regulations are adhered to
  • Laws and rules strictly govern every transaction.
  • The banking application’s infrastructure is ready to manage the transaction load without problems.
  • The banking software is safe and designed to thwart efforts at fraud, hacking, and other online attacks.

It’s critical to decide what aspects of your banking should and shouldn’t be automated. Manual testing is still necessary; automated testing is a supplement to it. For instance, automated testing ensures a high-quality user experience while preventing cyberattacks and compromises of consumer privacy. It also promises to keep you on pace for delivering your product.

Nevertheless, manual testing is still necessary to guarantee the quality of your banking software. A few examples of tests are:

  • Exploratory testing
  • Sanity testing
  • User interface testing

Because of this, it’s essential to confirm that your Banking Domain Application Testing methodology supports your long-term growth objectives and that you’re outlining your system requirements.

Where Automated Testing Helps

Regression testing

Regression testing by hand takes much time. A typical regression suite will have hundreds of test cases and require hours to run; as a result, the release cycle becomes congested.

Automated tests speed up this procedure because they’re:

  • a one-time expense
  • Run as many times as necessary
  • It is possible to run the regression suite at any moment and for extended periods.
  • They are consistently done in the same way.

Building a machine learning model from prior adjustments helps organizations improve their current functionality over time.

Test scenario generation

A customer’s savings account, credit card, loan EMI, and mutual fund investments should all be accessible from a single dashboard in an ideal world.

Since these are frequently independent business systems, it can be challenging to prioritize operations that give integrated real-time information and security.

The need for domain expertise, analytical skills, and the ability to identify the correct test data prevent the creation of test scenarios because most banks still utilize old systems. It can be challenging to come up with the ideal set of end-to-end plans.

Perfect use cases and test cases

When the use and test cases are present, automation testing outperforms manual testing. Simply put, this is due to the capability that AI and ML algorithms give Software testing for BFSI applications, enabling them to blend past performance with current market trends to evaluate applications from all conceivable perspectives. 

Digital devices = a flood of testing scenarios

Consumers assume that mobile and web applications are the most practical way to conduct banking operations. Banks are required to guarantee cross-platform and cross-device functionality. The market is seeing the emergence of products like Applitools powered by visual testing AI, and scriptless and codeless automation is also progressively gaining ground, making the transition to automated testing inevitable.

Automating performance tests

Since banking institutions should operate 24 hours a day, performance failures can be costly for banks. Radware claims that a 2-second load time lag during a transaction might result in abandonment rates as high as 87%. One method of streamlining the performance testing procedure is automating tests whenever practical, such as tracking performance metrics or modeling performance scenarios.

Security and regulatory compliance

This is nothing new: hacking and fraudulent transactions are the two most common cyberattacks on banking websites and consumer portals. Losses from cybercrime worldwide total $1 trillion alone from cyber bank thefts.

The significance of security test automation in financial institutions is not surprising. Given the well-known strict regulatory compliance that the banking industry must adhere to globally, relying on natural language processing (NLP) and robotic process automation (RPA) to guarantee adherence to regulations is obvious. DevOps principles are also supported by security test automation, whereas manual automation of DevOps still requires human cognitive abilities.


The banking business is under much pressure to fulfill the demands of the modern banking industry, but because most test scenarios now rely on manual testing, Test Automation Tools like Headspin can speed up the time to market and increase the quality of the application when it goes live.

The HeadSpin technology reduces costs and enables each tester to examine edge situations depending on various network and phone models.

Because the banking industry is highly concerned about security and testing builds leaving the network, HeadSpin’s ability to host on-premises, with no connectivity to the internet, allays their security worries.

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