STAREAST 2017 Concurrent Session - Be More Effective: Test Automation below the UI | TechWell


Thursday, May 11, 2017 - 1:30pm to 2:30pm

Be More Effective: Test Automation below the UI

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To maintain optimal product quality of large-scale enterprise systems, the regression test suite usually increases in size over time. Whether using automated or manual regression, this brings an additional maintenance and infrastructure cost that tends to get way out of hand, often defeating the purpose of regression suites. Sharing a case study, Ashish Mehta and Sohail Farooqui provide insights into analyzing enterprise application defects with associated gaps in relevancy and effectiveness of an existing regression suite. Ashish and Sohail implemented an automated solution to test directly at the business layer, reducing the dependency on UI automation scripts. Take back an automation test strategy and solution framework that help reduce dependency on application UI, reduce test cycle times, and improve test coverage with reduced effort and cost.

Infosys Limited

Ashish Mehta has more than fifteen years of global experience in software quality assurance and development. He has worked with clients to establish independent QA organizations, multi-stack test competencies, and mature testing practices in system test automation, middleware automation, data-warehouse, and end-to-end integrations. Ashish’s passion for new technology has helped him collaborate with architects and developers in designing and developing optimal test solutions.

Allstate Insurance

As an Enterprise Test and Release Manager in the Allstate Insurance strategy group, Sohail Farooqui provides strategic direction and thought leadership in the functional, regression, performance, and service architecture testing spaces across several mission critical and supporting applications while also serving on the core leadership team providing guidance in the conversion of Allstate testing organization from a waterfall to an agile methodology. As a Strategist, Sohail is critically focused on quality and balancing cost to business with testing efficiency.