Industry BFSI

Quality Engineering Solutions for Your Next-Gen Banking and Financial Services

Embrace next-gen transformation by leveraging our customized quality engineering solutions. We help you verify integrated banking through our bank-fintech collaborations, personalized insights, virtual assistant-led banking deployments, payment modernizations and other initiatives.

HOW WE CAN HELP YOU

Deliver top-performing business applications with our all-inclusive domain-focused quality engineering capabilities.

With our best-in-class enterprise-grade quality engineering solutions, you can shape the future of digital payments, credit services, digital score and investment banking, commercial corporate banking and trading services.

   Up to 6x faster releases

   Reduce regression testing by up to 80%

   Release efficiency by 40%

   Streamline operations and improve customer retention

Driving Digital Banking Transformation & User Experience

Boost quality with advanced test automation

We help to future-proof the digital bank’s environment by addressing core techniques and emerging technologies linked to open banking platforms, fintech integrations, AI-enabled analytics and virtual assistants through our advanced quality engineering solutions.

Accelerate the Concept-to-Cash Cycle

We help with implementing continuous quality through AI-led solutions to enable accelerated development cycle time, allowing you to accomplish faster product and idea implementation to meet targeted business revenue ahead of your competition.

Get Empathy-Driven Customer Service

Use our comprehensive solution of multichannel QE frameworks, real-world user personas based on crowd-testing capabilities and CX/UX journey map analytics to achieve your customer experience transformation goals and drive adoption and transformation to digital and open banking initiatives.

Enhance the Omnichannel Experience of Your Customers

Ensure consistent quality across devices and systems. Banking-focused advanced quality engineering solutions validate the core integrations of devices such as card payments, ATMs and virtual banking solutions.

Increased Precision in Risk Management

Our low-code, no-code test automation solution assists you with modeling risk management, testing and validation for every compliance and regulatory risk need, as well as cybercrime and security control validations

Our Solutions

End-to-end data security and highest application performance

Customized banking solutions to meet dynamic challenges and growing digital technologies. Leverage our multichannel quality engineering solutions for digital banking operations, next-gen automation frameworks and cyber security measures to meet the demands of modern customer experience transformation goals.


Payment system Modernization

Through service automation, virtualized interfaces, robotics and simulators,we provide comprehensive testing for payment channels and automation methods across all integration layers of payment processors, gateways, exchange networks and financial institutions.

Multichannel Customer Experience Transformation

With integrated performance engineering solutions, we'll provide automated techniques to validate across all operating systems, mobile devices and
networks.

Trade reconciliation

Data validation and reconciliation of FIX messages for trader orders and fills using low-code, no-code automation, investment banking testing services and
pipeline tools that identify trade problems and enable correction for same-day processing and order resubmissions

Digital Banking Solutions

Using automated intent and utterance generation capabilities and integration with top AI orchestration engines, you can gain end-to-end automation for AI-
enabled chatbots and digital assistant solutions.

Top Insights

Discover how you can embrace innovation to drive new value for your organization. Explore new
insights. See tangible outcomes.

With the widespread exposure, experimentation, and acceptance of artificial intelligence and machine learning in the digital realm of information technology, the fast-paced world of software development has now been updated and upgraded to hyper-speeds of development. As a result of this, Quality Engineering in software testing is more crucial than ever. As we edge closer to 2025, the landscape of quality engineering tools continues to evolve, offering new capabilities to enhance software reliability, efficiency, and overall quality. This blog explores the top tools that are set to shape quality engineering practices in the coming year. The Role of Quality Engineering Tools Quality engineering tools play a pivotal role in embedding quality throughout the software development lifecycle. These tools facilitate various processes, such as automated testing, code analysis, and performance monitoring, ensuring that software products meet high standards of excellence. By leveraging these tools along with employing Shift-Left approach in the STLC, organizations can streamline their workflows, reduce time-to-market, and deliver superior software solutions. Key Features to Look for in Quality Engineering Tools Automation Capabilities Automation is crucial for reducing manual testing efforts and increasing efficiency. Tools with robust automation capabilities allow teams to execute repetitive tasks quickly, freeing up resources for learning & more complex problem-solving opportunities. For example, Selenium automates web application testing across multiple browsers, improving efficiency and helping identify & reduce errors. Integration with CI/CD Pipelines Integration with CI/CD pipelines ensures that quality checks are embedded seamlessly throughout the development lifecycle. A tool like Jenkins, for instance, enables continuous integration and delivery, allowing teams to release software updates quickly and reliably with minimal intervention. AI and Machine Learning Advanced tools leverage AI and ML to provide predictive analytics and generate automation scripts for complex test scenarios. This capability helps capture potential defects early in the test cycle, improving test coverage and accuracy. Tools like SonarQube use AI-driven static code analysis to ensure high quality of codes. Scalability Tools that can scale and adapt to the growing complexity of software projects and requirements. Cloud-based solutions like LambdaTest offer scalable resources for cross-browser & cross-platform testing, ensuring applications work seamlessly across various platforms without requiring a physical lab or set up. User-Friendly Interface An intuitive, simple and user-friendly interface enhances usability and reduces the learning curve for team members. Tools similar to TestRail provide a straightforward interface for managing test cases, tracking executions and results, which improves collaboration and productivity. Top Quality Engineering Tools for 2024 1. Selenium Selenium remains a top choice for web application automation. Because of its open-source nature and extensive support for multiple browsers, it has proven to be a versatile tool for regression and functional testing. Selenium’s integration with various programming languages allows for the creation of test scripts in the language we prefer. 2. JIRA The world-wide accepted JIRA is a powerful project management tool predominantly used in quality engineering services for tracking issues and managing test cases. Its robust features support agile methodologies enabling teams in Sprint Planning, Progress Tracking, and Effective Collaboration. We can further enhance JIRA’s utility with its ability to comfortably integrate with other tools like Confluence and Bitbucket. 3. Jenkins Jenkins, which is an open-source automation server, helps set up continuous integration and continuous delivery (CI/CD). It helps automate build creation, testing, and application deployment, ensuring seamless integration of any code changes that are made/committed into the main branch. Jenkins’ vast library of plugins allows customization to suit specific project requirements. 4. TestRail TestRail is a comprehensive test management tool that helps teams in the structured organization of test cases, plan and execute test cases and track the results. Its intuitive interface helps simplify the test management processes, while its integration capabilities with JIRA and other tools have proven to streamline workflows. The graphical reporting features of TestRail provide valuable insights into various test metrics like coverage, module health, no. of test cases passed/failed etc. 5. Postman Postman, a popular tool for API testing, offers a user-friendly interface for designing, executing, and automating API tests. It supports numerous request types and provides features that aid detailed response validation. Postman’s collaboration capabilities enable teams to share test collections and maintain consistency across projects. 6. SonarQube Continuous code quality inspection is achieved via SonarQube, an open-source platform. It performs static code analysis to detect bugs, vulnerabilities, and code stability across multiple programming languages. SonarQube’s integration with CI/CD pipelines ensures that code quality is maintained throughout the development lifecycle and that any discrepancies/anomalies are identified and notified to the developer. 7. Appium Appium is an open-source tool designed to automate mobile application testing on mobile platforms, especially iOS and Android operating systems. It supports multiple programming languages and integrates seamlessly with existing frameworks like Selenium WebDriver. The cross-platform capabilities of Appium make it ideal for testing mobile applications across different devices with varying OS versions, Form Factors and Display Sizes/Resolutions. 8. LoadRunner LoadRunner, a Micro Focus product, is a leading performance testing tool with which we can simulate real-world user loads to assess and evaluate application performance under stress. It supports a wide range of protocols and provides detailed analytics to identify bottlenecks and optimize system performance. How These Tools Enhance Product Quality The adoption of these top-quality engineering tools in 2024 has significantly helped enhance product quality for our clients by: Increasing Testing Efficiency: Automation capabilities help reduce manual effort, allowing teams to focus on more strategic tasks and training programs for skill development. Improving Code Quality: With Continuous code inspection by using tools like SonarQube has helped us work with the Developer teams to maintain high standards of code by identifying potential and anomalies issues in early stages of development. Enhancing Collaboration: Effective usage of tools like JIRA facilitate seamless and continuous communication between team members, efficient tracking of tasks/stories ensuring that the entire team is aligned on project goals and it’s progress. Optimizing App Performance: Performance testing tools such as LoadRunner help provide insights into system behavior under varying loads, enabling teams to optimize performance before deployment.  Tool Name Real-World Use Case Plausible OutcomeSelenium A typical example for effective utilization of Selenium in various industries is its role in automating repetitive browser-based tasks. The expected outcome from using Selenium in jobs involving web automation includes increased productivity, fewer manual errors, and time savings.JIRA Teams utilize JIRA for effective project management, especially in agile workflows, to track issues, manage projects, and streamline collaboration. By implementing JIRA, teams achieve improved project transparency, faster issue resolution, and enhanced collaboration within cross-functional teams.Jenkins A Travel company implemented Jenkins to manage CI/CD pipelines, helping to automate code deployment and integration with various tools. Increased software deployment speed, improved consistency in software releases, and reduced human intervention in deployment processes.TestRail TestRail is used to execute extensive test runs and document results, making it invaluable in quality assurance processes across industries. Using TestRail leads to increased productivity, better test coverage, and streamlined test management.Postman Our Quality engineering Company assisted our client in API testing by integrating Postman into their workflow, enhancing API validation and debugging. Improvements in productivity, faster onboarding of new developers, and enhanced API reliability.Foreseeing Trends in Quality Engineering Tools for 2025 As we inch towards 2025, several tech trends are expected to shape the future of quality engineering tools: AI-Powered Testing AI-powered testing tools are picking pace owing to the ability to automate complex test scenarios and provide predictive insights into potential issues. These tools help optimize test coverage and accuracy by leveraging machine learning alogrithms. Cloud-Based Testing Solutions Cloud-based testing tools & solutions offer scalable resources that can be modified to specific project requirements. They enable distributed teams to effectively collaborate while reducing infrastructure & maintenance costs associated with traditional on-prem workspaces and setups. Scriptless Automation Tools Test automation is made simple and easy to a certain extent with the utilization of Scriptless Automation tools which allows testers without extensive coding knowledge to generate automated tests. These tools use visual interfaces or natural language processing (NLP) to simplify test creation processes. Conclusion Quality Engineering is evolving everyday in Software Testing space, thanks to the advancements in technology and every changing/increasing industry demands and end user requirements for new and better things every day. By adopting to the right tools and adapting to the technologies around them, one can enhance software development processes, enrich product quality, and deliver exceptional user experiences.  Irrespective of whether your focus is on automation, performance optimization, seamless integration with CI/CD pipelines, effective usage of these top-notch quality engineering tools help you achieve your goals in providing unmatched experience to your customers.   FAQs1. How do AI-powered testing tools improve software quality? a. AI-powered testing tools help automate complex scenarios and provide predictive insights into potential defects, analyze causes, optimize test coverage, and improve accuracy. 2. What are the benefits of cloud-based testing solutions? a. Cloud-based solutions offer scalable resources tailored to project requirements while reducing infrastructure costs associated with traditional setups. 3. Why are scriptless automation tools gaining popularity? a. Scriptless automation tools allow test engineers without coding knowledge to create automated tests using visual interfaces or natural language processing. 4. How does SonarQube contribute to maintaining code quality? a. SonarQube performs static code analysis to detect bugs, vulnerabilities, and code smells across multiple languages, ensuring consistent code quality throughout development. [...]Read more...
As we transition from Quality Assurance to Quality Engineering in the ever-evolving digital world, the evolution of quality Engineering in software testing has started creating benchmarks for delivering reliable and efficient software products. With advancements in technology, software testing approach has come a long way in terms of applying the new learnings into the Tools used, Best Practices employed resulting in providing the best solutions to the stakeholders/clients/customers. This guide explores the essential practices, trends, and technologies that define quality engineering today, providing a comprehensive understanding of its role in modern software development and the success of a digital product in the competitive world. What is Software Quality Engineering? Software Quality Engineering (SQE) is an approach that integrates quality into every phase of the software development lifecycle. Unlike traditional quality assurance, which often focuses on testing at the end stages (ex: Waterfall model), SQE aims to prevent defects from occurring by embedding quality practices throughout the development process as early as the Requirement Planning & Design phase.  The primary goals of SQE include enhancing software reliability, reducing time to market, and improving user satisfaction. It is applicable across all stages of development, from initial design to final deployment and post-deployment. The Distinction: Quality Engineering vs. Quality Assurance Quality engineering and quality assurance play distinct roles within software development. While quality engineering focuses on integrating quality throughout the development process, quality assurance emphasises evaluating the final product against predefined standards/requirements. The methods used in quality engineering are proactive, aiming to prevent defects, whereas quality assurance is more reactive, identifying defects post-development. Quality Engineering aids and allows changes during any phase of the development. Quality Assurance gives us less flexibility in addressing change requests post-initiation of development. Software Quality Engineering Practices Imbibing Artificial Intelligence into testing AI-driven testing is revolutionising quality engineering in software testing by automating complex processes and enhancing predictive capabilities. AI tools can analyze huge datasets to identify patterns, predict potential defects, and automate repetitive tasks. This approach acts as a catalyst by accelerating the testing process while increasing accuracy and efficiency. Continuous Integration and Continuous Deployment (CI/CD) CI/CD pipelines are an integral part of new-age software development, ensuring automated testing and integration of the new/changed code in the Main branch efficiently. By including automated testing within these pipelines, quality is ensured and maintained throughout the development lifecycle, allowing for rapid iterations and immediate feedback. Shift-Left Testing Shift-left testing involves initiating testing activities earlier in the development process. Adopting shift left testing principles helps identify  defects at an early stage, reducing the cost and time associated with fixing issues later. By integrating testing into the initial phases of development, teams can ensure higher quality from the outset. This helps build robust and stable applications with minimal downtime and quicker releases. DevOps Integration The marriage of DevOps practices with Quality Engineering fosters collaboration between development & operations teams helping produce the best output. This synergy enhances agility and responsiveness, ensuring that quality is a shared responsibility across all stages of development and every member is a stakeholder and equally accountable. Continuous monitoring and feedback loops further improve software reliability by allowing improvements/optimization quickly at any stage. Functional Testing Functional testing is a critical component of quality engineering in the software testing process. It ensures that each component/function of the software performs according to the provided requirements/specifications. This kind of testing involves checking user interfaces (UI), APIs, databases and how all these layers function together. Understanding the distinction between functional vs non-functional testing is essential, as the former focuses on validating the core functionality, while the latter assesses performance, usability, and other non-functional aspects.Functional testing can be divided into several types:Unit Testing: Focuses on individual components or units of code to ensure they work as intended. Generally performed by the Developer itself, however, can be done by a knowledgeable QA. Integration Testing: When all Units are working as intended, next we verify different modules or services used by your application work well together. System Testing: Upon successful integration checks, the process moves on to evaluate the complete system’s compliance with the specified requirements. User Acceptance Testing (UAT): The application, once Functional QA Certified, undergoes checks to determine if the system satisfies the business needs and is ready for deployment.Best practices for functional testing include selecting strategic test cases for automation, implementing data-driven tests, and adapting to UI changes efficiently. Peer Review Peer review is a collaborative approach where team members evaluate each other’s work internally to identify defects early. This practice helps enhance code quality and promotes knowledge sharing. Effective peer reviews involve structured processes and open communication, focusing on requirement understanding, user flow and app design flow, test scenario creation/test case creation, defect reporting, test executions.  These foster the development of a balance between formal processes and a collaborative environment. Software Testing Trends in Quality Engineering As we look towards the future, several key trends are emerging in software testing within the world of quality engineering and are being widely adopted and adapted to: AI and Machine Learning Artificial Intelligence (AI) and Machine Learning (ML) tech are becoming essential tools in quality engineering. These technologies enable predictive analytics, allowing teams to foresee potential issues before they occur. ML algorithms can continuously learn from test execution results and reports, optimizing test cases and improving precision over time helping the cause of quick and less buggy releases. Analytics Data analytics helps provide deep insights into user behavior and system performance by analyzing large datasets. This vital component in Quality Engineering helps identify trends, anomalies, and key areas for improvement, leading to more informed decision-making. Big data testing ensures data accuracy and compliance with regulations, thus enhancing overall product quality and performance. Cloud-Based Testing Cloud-based testing has been transforming test environment management by offering scalable resources tailored to specific requirements. This flexibility allows for efficient resource utilization and faster & efficient test executions. Cloud platforms allow for collaboration among distributed teams, making it easier to manage large-scale applications with ever-changing demands. Security-First Approach Integrating security testing throughout the development lifecycle helps identify vulnerabilities early. This proactive strategy involves using automated tools to maintain robust defences against potential attacks. Focusing on security from the outset ensures any defects/anomalies are nipped in the bud and that the application not only functions according to the requirement in an intended manner, but also protects user data effectively. Scriptless Automation Scriptless test automation tools are the buzzwords today, gaining a lot of popularity as they allow testers to create automated tests without the need for extensive programming knowledge. This is a huge change in the automation world, making it accessible to a broader spectrum of test engineers and increasing the overall testing efficiency of the individual as well as the team. Conclusion Quality engineering in software testing plays a critical role in modern software development by embedding quality at every stage of the lifecycle. By adopting practices like AI-driven testing, CI/CD pipelines, shift-left testing, and DevOps integration, organizations can significantly improve their software’s reliability and efficiency. Keeping up with the pace of emerging trends, such as AI integration and continuous testing, will further enhance these efforts to make exceptional products and services. Integrating quality engineering into your processes not only boosts product quality but also accelerates time-to-market and increases customer satisfaction. Frequently Asked Questions   1. How can Quality Engineering improve software reliability? By embedding quality throughout development, potential issues are identified early, reducing defects and improving reliability. 2. What is the role of a QA engineer in software testing? QA engineers focus on ensuring that software meets established standards through rigorous testing and validation processes. 3. What are the future trends in Quality Engineering for software testing? Trends include AI-driven automation, shift-left testing strategies, cloud-based solutions, and continuous integration practices. 4. Can Quality Engineering be applied to all types of software development? Yes, it can be applied across various domains to enhance product quality and performance. By understanding these practices and trends within quality engineering in software testing, organizations can elevate their digital applications to meet high standards of reliability and performance in an increasingly competitive market [...]Read more...

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