Automation Leveraging Artificial Intelligence Vinod Sundararaju Antony, Director – Projects Cognizant Technology Solutions

Abstract The mandate of the digital era is quality at speed. Enterprises are now mandated to delivery enhanced quality and customer experience at faster time to market. This this is further challenged by the exploding digital platforms. Automation has grained significant traction and is enabling the QA teams in reducing cycle time. Automation has matured and expanded from just UI based automation to end to end automation across the SDLC. However one of the significant drawbacks with current automation approaches is the need for extensive coding and maintenance. This white paper describes an approach to automation leveraging artificial intelligence eliminating the need for extensive coding for test automation for regression testing.

The Digital Era DIGITAL IS DRIVING FASTER TIME TO MARKET DIGITAL IS EXPLODING Digital Transformation will reach $2.2 trillion, almost 60% larger than in 2016 Releases are now feasible in a matter of hours

Challenges with Current Test Automation Approach Drawbacks with current test automation and regression approaches because of the need for extensive coding and maintenance. Increasing Maintenance & Failure effort - In general 60% - 70% of automation script failures are due to environmental issues, test data issues, issues related to configuration and 3rd party integration system failures. A significant effort is spent in triage of such script failures due to extraneous reasons Different tools and frameworks across testing types make it cumbersome for testers to maintain and update the respective scripts. In some cases the effort is so high that there is a need to maintain dedicated build (testers who design test scripts) and run (testers who maintain scripts) teams

The Surge of AI

Automation leveraging AI – Key Elements

The Architecture

Does this save the world? Suitable for Regression Testing Suitable for Digital applications (primarily B2C applications) Does not cover enterprise applications Not suitable for Content based applications (heavy content, video based applications) Heavy business / financial processing logic involved in validations

References https://go.forrester.com/blogs/16-11-01-2017_predictions_mobile_is_the_face_of_digital/ The Forrester Wave™: Modern Application Functional Test Automation Tools, Q4 2016 IDC FutureScape: Worldwide IT Industry 2017 Predictions http://pages.cs.wisc.edu/~swift/classes/cs736-fa06/papers/autonomic-computing.pdf

Author Biography Vinod Sundararaju Antony - Vinod has 16 years of experience in Software Testing and Quality Assurance. Over the years he has taken up a variety of roles such as Global Test Delivery Manager, Quality Consultant and Transformation Consultant. Ankur Joshi – Ankur has 8 years of experience in Software Quality Assurance and has played roles such as Business Development Manager and SDET. Ankur has experience in testing delivery for agile projects and developing QA solutions for large strategic programs.

Thank You!!!