Automation Testing and Cloud Migration
Implemented and optimized automation test suite for AIP software that utilizes full testing pyramid approach.
Expertise
Technologies Used
Challenges
IFS was experiencing significant difficulties with their testing infrastructure that affected their software delivery timeline. The test suite reliability had deteriorated over time, with timing issues causing inconsistent results that reduced confidence in the automation tools. Quality assurance professionals were dedicating substantial time to investigating failing tests instead of focusing on higher-value activities.
Regression testing had evolved into a time-consuming process, with cycles extending across weeks and creating delays in the development pipeline. Troubleshooting pipeline failures required extensive effort as teams worked through complex logs and environments. Adding to these challenges was an incomplete transition from Selenium to Cypress and Karma, resulting in a disjointed testing approach that wasn't delivering expected efficiencies.
How We Helped
Our approach began with a comprehensive analysis of the business requirements informing their testing needs. By aligning testing strategy with business objectives and user journeys, we implemented an effective testing pyramid that appropriately balanced unit, integration, and end-to-end tests.
We developed clear acceptance criteria for features, establishing a shared understanding between technical teams and business stakeholders. Karma was utilized for unit testing while Cypress provided reliable integration and end-to-end testing capabilities. A significant improvement resulted from implementing data mocking strategies that reduced environmental dependencies and improved test consistency.
Each unreliable test was methodically evaluated and improved, addressing timing issues and other sources of inconsistency. While stabilizing existing tests, we also expanded coverage for new features and identified important edge cases that required testing. Throughout the engagement, we shared testing best practices and helped build internal capabilities to maintain the improved testing framework.
Achieved Goals and Key Results
Within just three months, the transformation delivered significant results. Test flakiness decreased by approximately 90%, and the development cycle accelerated by roughly 35%, drastically reducing the time-to-market for new features. The improved pipeline efficiency provided faster feedback to developers, enabling the team to catch critical issues before production deployment. This comprehensive approach not only enhanced software quality and team productivity but also reduced business risk by ensuring thorough edge case testing. The new testing architecture created a sustainable foundation that scales with product growth, while knowledge transfer allowed the internal team to independently maintain these improvements. Ultimately, this initiative transformed a former bottleneck into a competitive advantage, empowering the team to deliver high-quality software efficiently and effectively.