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
Links
schedule Submitted 5 years ago
Call for Proposals CLOSED
Ended on Mar 18 '18 11:59 PM IST
We are looking for deep technical topics related to Selenium and testing in general. We are committed to diversity and believe in transparency. Hence, all proposals will be public.
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Anand Bagmar
Pooja Shah
Manoj Kumar
Naresh Jain
Hemant Ojha
