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Future of AI and ML in Software Testing

Offered By: DevConf via YouTube

Tags

Software Testing Courses Artificial Intelligence Courses Big Data Courses Machine Learning Courses DevOps Courses Quality Assurance Courses Software Development Life Cycle Courses Test Automation Courses

Course Description

Overview

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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

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