Agile Testing Transformation Enhances Quality For A Finance Giant

At Testhouse, we implemented a transformative Agile Testing approach for a UK-based financial services organization, focusing on behaviour-driven development (BDD) for enhanced collaboration and faster delivery. We established a dedicated Agile Test Operating Model, incorporating comprehensive testing services like static testing, test automation, and system integration testing. Our solution significantly reduced execution cycles and deployment times, leading to a marked improvement in release quality. This project, which began in 2020, exemplifies our commitment to agile methodologies and cutting-edge testing strategies in the financial sector.

• Static Testing
• Test Automation
• Regression Testing
• System Testing
• System Integration Testing
• User Acceptance Testing
• Engagement Model: Managed Capacity

• Long Turnaround Time for Releases: The use of a waterfall methodology has led to extended release cycles.
• Lack of Collaboration and Inefficiencies: A centralized testing team has caused a lack of collaboration and inefficiencies in the testing process.
• Inadequate Cross-Browser Testing Automation: The current automation framework does not adequately support cross-browser testing.
• Complex Test Data Creation: Creating test data across multiple systems has become complex and time-consuming.
• Limited Experience in Agile and SOA/UI Automation: The testing teams lack experience in Agile methodologies and automation for SOA (Service-Oriented Architecture) and UI testing.

• Implementation of Behavior-Driven Development (BDD): Introducing BDD from project inception to enhance collaboration and accelerate delivery.
• Agile Test Operating Model: Implementing an Agile test operating model with dedicated teams for planning, test architecture, and centralized end-to-end (E2E), performance, and security testing.
• Multi-Layered Test Automation Framework: Leveraging tools such as Cucumber, Selenium, JIRA, and Rest Assured to automate testing for web and API technologies.
• Automated CI/CD Processes: Utilizing Azure DevOps to establish automated Continuous Integration/Continuous Deployment processes, reducing deployment time from 3 days to 4 hours.
• Virtualization of Services: Implementing a tool-based approach to virtualize services for end-to-end testing and test data provisioning.
• Integration of Performance and Accessibility Verification: Incorporating client-side performance and accessibility verification capabilities into the automation framework.

• Reduced Execution Cycle: The execution cycle has been reduced from 2 weeks to approximately 8 hours.
• Streamlined Deployment: Automated CI/CD processes have significantly reduced deployment time from 3 days to 4 hours.
• Improved Release Quality: Achieved a 20% improvement in overall release quality for production.