Using Machine Learning & AI for remediation of test automation assets
Every enterprise spends a considerable amount of automation budget to maintain the automation scripts. The maintenance activities are due to changes the workflow, User Interface or due to automation script defects. The talk is about a solution that will help you to automatically maintain test automation assets by continuous Inspection on the quality and status of test automation assets an automate remediation of issues that minimizes upkeep cost. The solution uses Artificial intelligence and machine learning techniques and can be easily integrated with a Selenium based automation framework.
Outline/Structure of the Talk
Common Challenges in Test Automation Maintenance
Details of Solution Components
Benefits of the solution
Demo
Learning Outcome
How to reduce test automation maintenance cost
Understand how machine learning and AI can be used to improve testing
Target Audience
Automation Engineers, Architects and Leads
Prerequisites for Attendees
Knowledge on Selenium or any test automation tool