Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Future of AI and ML in Software Testing

DevConf via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the future of AI and machine learning in software testing in this DevConf.CZ 2023 conference talk. Discover how AI technologies impact various aspects of the Software Testing Life Cycle (STLC) and learn about the challenges testers face when applying AI to testing. Gain insights into self-healing techniques that can save script maintenance time and improve test resilience. Understand key AI contributions to software testing, including improved testing processes, AI-based security tools, and risk-based methods leveraging big-data insights. Learn how to make automated tests more resilient and less brittle, and explore how self-healing systems can identify changes at runtime without manual intervention. The talk covers topics such as the three generations of AI, current applications, and the question of whether AI will replace software engineers and QA automation professionals.

Syllabus

Introduction
AI Machine Learning and Deep Learning
Three Generation of AI
Challenges
Solution
Helix
Helix Example
Benefits
Challenge
Current Applications
Will AI replace Software Engineers
QA
Automation from scratch

Taught by

DevConf

Reviews

Start your review of Future of AI and ML in Software Testing

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.