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Top 5 Factors to Consider While Testing Financial Software

Aug 7, 2024 04:01:39PM

Van Pham

Senior Technical Content Writer

As financial institutions increasingly rely on digital platforms to manage complex transactions, customer data, and regulatory compliance, ensuring the reliability and security of financial services software is paramount.

To fulfill your BFSI businesses with a comprehensive knowledge of financial software testing, we will highlight key elements to consider when testing financial software, common challenges, and best practices to overcome. So let’s scroll down and check it out!

Top 5 Factors to Consider While Testing Financial Software

1. Compliance & Regulatory Testing

Financial software must strictly adhere to the requirements set by relevant regulatory bodies. Given the diverse geographic regions where these applications are deployed, it is imperative that they meet specific regulations for each area or multiple international organizations. Non-compliance can lead to severe civil, financial, or even criminal consequences for the responsible organizations or individuals.

For instance, in Australia, financial software must comply with the regulations set by the Australian Securities and Investments Commission (ASIC). This includes adherence to guidelines on financial reporting, consumer protection, and market integrity. Similarly, in Malaysia, compliance is needed to comply with the regulations stipulated by the Securities Commission Malaysia (SC) and Bank Negara Malaysia (BNM).

2. Usability and User Experience

When testing financial software, user experience (UX) is other factor that you should consider. It’s worth considering to focus on evaluating how easily and efficiently users can interact with a financial software application through usability testing. For instance, a user-friendly and easy-to-navigate trading platform can lead to increased user engagement, higher productivity, and greater trust in the application.

Additionally, during the testing process, User Acceptance Testing (UAT) is also a critical phase. It involves real users testing the software in real-world scenarios to verify that it performs as intended and can handle actual business tasks. By successfully completing UAT, financial institutions can validate that the software functions according to the specific business processes and meets the required standards.

3. Application Security and Performance

Security Testing

Security Testing is often conducted after completing both functional and non-functional tests.

Financial institutions, which handle millions of dollars daily, are particularly vulnerable to security breaches. Such breaches can significantly harm a firm’s financial health and erode customer trust.

Given the high-stakes nature of financial transactions and the sensitivity of the data involved, ensuring robust security is paramount. Security testing helps protect against unauthorized access, data breaches, fraud, and other cyber threats. Protecting this data from potential attacks is essential to prevent reputational damage and financial losses.

Security Testing plays a vital role in securing applications by identifying and fixing security vulnerabilities. This stage is crucial in the Financial app testing cycle, ensuring that the software meets federal and industry standards. It verifies that the application is free from web vulnerabilities that could expose sensitive data and ensures compliance with standards like the Open Web Application Security Project (OWASP).

Performance Testing

Financial institutions are continually expanding into new markets and launching new products, which places increased demands on IT systems. This expansion necessitates performance engineering throughout the testing lifecycle.

Performance quality assurance is vital for handling expected and unexpected workloads without compromising functionality, speed, and reliability. Given the critical nature of financial transactions and the high volume of data processing, performance testing helps verify that the software can operate efficiently under various conditions, providing a seamless experience for users and meeting business requirements.

4. Functional Testing

Functional testing is also a cornerstone of software testing in the finance domain. It’s crucial to thoroughly vet the system, scrutinizing all source codes and architecture for any bugs or vulnerabilities.

Functional testing involves a series of standard software testing tasks: preparing test cases, reviewing them, and executing these cases to ensure everything works as it should. This process also includes application testing, system integration testing, regression testing, and user acceptance testing.

5. Test Automation

Financial applications often require rigorous and repetitive testing, which can be efficiently managed through test automation. Automated testing scripts and frameworks can handle various scenarios, ensuring thorough and accurate testing. This method enhances test coverage and reduces the likelihood of human error.

The benefits of test automation are shown in different key aspects:

  • Accelerated Testing Cycles: Automated tests run significantly faster than manual tests. Therefore, this speed is essential in the financial sector, where rapid changes in regulations and market conditions require swift updates and deployments.
  • Enhanced Test Coverage: Automation allows for a broader range of tests to be executed, including edge cases and complex scenarios that might be overlooked during manual testing.
  • Accuracy: Automated tests eliminate the risk of human error, providing consistent and precise results.
  • Scalability: Automation frameworks can easily scale to handle increasing test cases and more extensive test environments.
5 most important factors to consider for financial application testing
5 most important factors to consider for financial application testing

Common Challenges in Testing Financial Applications and Solutions to Overcome

Financial software testing presents various challenges that require a comprehensive mitigation plan to reduce risks effectively. Here are some common challenges the quality assurance (QA) team should anticipate and prepare for:

Production Data Challenge

  • Challenge: In finance applications, some defects are specific to certain users or data, which the QA team may find difficult to replicate in a test environment.
  • Solution: The QA team should design a testing approach that includes scenarios involving users with extensive data histories. The database team can assist by deploying a masked or anonymized production database dump in the QA environment.

System Migration

  • Challenge: The rapid evolution of IT introduces new technologies and frameworks, necessitating the optimization or complete redevelopment of existing applications. The primary challenge in this scenario is migrating all existing data to the new system and ensuring its smooth operation.
  • Solution: The QA team must perform comprehensive Data Migration Testing and execute regression test cases on both the old and new systems to ensure consistent results.

Lack of Finance Domain Knowledge

  • Challenge: Another common challenge in testing finance applications is the QA team’s unfamiliarity with the industry. This can lead to ignorance of critical financial rules, standards, and common issues that experienced testers would recognize.
  • Solution: It is crucial to ensure the QA team possesses sufficient knowledge of the relevant financial domain before starting any development or testing work. This ensures that all financial requirements are understood and validated by the team. Additionally, hiring a software testing team with domain knowledge in finance can significantly speed up the testing process and enhance test coverage. We recommend you to look at some notable testing service companies such as KMS Solutions, Capgemini, or Wipro.
Some challenges in testing financial applications and solutions
Some challenges in testing financial applications and solutions

Choose KMS Solutions for your Financial Application Testing

Testing financial software and ensuring it is both reliable and secure isn’t a breeze. Good news for you. At KMS Solutions, we specialize in handling these complexities. Our expert team is dedicated to delivering the highest standards in financial software testing, so you can focus on growing your business with confidence. Here’s a quick look at our software testing in financial services.

  • Hyper-Testing process: Our hyper-testing process delivers a comprehensive, 360˚ test coverage approach combined with an advanced automation testing framework. This re-engineers complex testing processes, ensuring the highest quality in financial services software.
  • Scalable QA Team: At KMS Solutions, our Testing Center of Excellence boasts a versatile team with diverse skills and specialized domain knowledge. We leverage the latest innovations in the testing field to deliver unparalleled quality assurance.
  • AI-powered Testing Platform: By integrating cutting-edge AI technology, we automatically generate test cases and enhance test coverage. This ensures faster testing cycles and a streamlined QA process with minimal bottlenecks.
  • Pre-built Automation Framework: Our seamlessly designed automation framework accelerates your software development process, unlocking the potential for rapid and efficient testing through test automation.

Contact us now and take the first step towards the perfect financial software for your business with our software testing in financial services. Your success is always our mission!

Article by

Van Pham

Senior Technical Content Writer
Van Pham is a seasoned Technical Content Writer with 4 years of proven expertise in researching and delivering high-quality, engaging content tailored for the technology. Skilled in translating complex technical concepts into clear, compelling narratives that resonate with diverse audiences, from tech-savvy professionals to non-technical stakeholders. Van Pham excels in creating blog posts, whitepapers, case studies, and SEO-optimized articles that covers emerging trends like AI/ML, cloud computing, agile methodologies, and automation testing.
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