-
-
-
-
URL copied!
Robust open-source frameworks and DevOps integrations have brought us a long way from the early days of QA testing with clunky tools. And just as we’ve transitioned from Waterfall to agile models, our testing needs to keep pace at every stage of development.
Automation helps, but identifying use case scenarios and keeping up with the coding requirements can be cumbersome. In this paper, you’ll learn innovative ways to solve the challenges of automation testing using artificial intelligence and machine learning.
Authors
Top Authors
AVP, Engineering
Director, Client Engagement
Competency Center Manager, Engineering
Associate Vice President
Lead Specialist, Marketing
Let’s Work Together
Related Content
If You Build Products, You Should Be Using Digital Twins
Digital twin technology is one of the fastest growing concepts of Industry 4.0. In the simplest terms, a digital twin is a virtual replica of a real-world object that is run in a simulation environment to test its performance and efficacy
Learn More
How Smart Cars Will Change Cityscapes
Which technologies do we need to improve the quality of life for people in the city and make governance more effective? What role does a car play in the city of the future, and how can it make traffic safer? GlobalLogic’s engineers are already working on solving these issues.
Learn More
Share this page:
-
-
-
-
URL copied!