Implementing Coforge’s automated testing solution to optimize QA for Agile and DevOps Project.

Challenges.

To improve their Agile/DevOps workflow, the customer implemented continuous testing for several reasons:

• Increase automated regression testing coverage
  
• Optimize overall test coverage without compromising quality
  
• Reduce testing delivery costs

Solution.

Leveraging their extensive knowledge of the BFS sector, Coforge designed a holistic testing solution. This approach ensured maximized quality and productivity by incorporating a comprehensive testing strategy and execution plan. This plan encompassed both functional and non-functional testing across the client's wealth management processes, multi-channel transformations, and automation efforts. The focus was on Continuous Testing for Agile & DevOps Projects with: 

• Early Risk-Based Analysis: Prioritizing testing efforts through upfront risk analysis.
• In-House Cognitive Testing: Utilizing Coforge's proprietary cognitive testing tools for broader test coverage.
• Integrated Quality Engineering Accelerators: Employing a suite of tools to optimize testing efforts, analyze ROI, enhance process maturity, and achieve high automation coverage with web and mobile automation scorecards.
• Data-Driven Monitoring: Continuously monitoring test performance and results.
• Continuous Improvement Framework: Establishing a framework for ongoing improvement in the testing process.

The objective behind testing transformation was to establish continuous testing at all stages of the development journey and to enable test evaluations for improved quality outcomes. The figure above shows the list of different continuous testing services and the solutions that Coforge provided to establish quality improvements through continuous testing for the customer. 

The Impact

Coforge’s innovative solution consistently met 100% performance levels on TAT and SLAs. This helped the customer to focus more on their core competencies and made them more responsive for future organic and inorganic growth. 

• 35% increase in test efficiency for legacy applications by implementing RBT
  
• 45% increase in test automation coverage
  
• 30% reduction in test execution cost by automation