This document discusses how AI can be used to assist with software testing and development. It suggests that AI may one day be able to understand complex problems, automatically generate error-free code, and even replace testers. However, AI tools also need to be intuitive, easy to use, and help improve workflows. The document promotes using AI to enhance activities like automated regression testing and program compilation. Overall, the document explores the potential for AI to both automate certain testing tasks and help testers work more efficiently.
Leveraging AI for Mobile App Testing on Real Devices | Applitools + Kobiton
AI Will Change Software Testing and Development But Testers Are Safe
1. @roesslerj1
My slides are / will be available for you at:
Tested by Monkeys
Dr. Jeremias Rößler
https://de.slideshare.net/roesslerj
When will AI take my job
as a Tester?
Dr. Jeremias Rößler
21. @roesslerj21
Exploratory testing
Functional testing
Performance testing
Usability testing
Security testing
Regression testing
Stress testing
Load testing
Breaking things
Managing bugs
Raising bugs
Knowledge gathering
Investigating technology
Asking questions
Researching known issues
Identifying the cause of problems
test plans
test strategies
Reporting
Discovering broken assumptions
Generating test data
Coordinating testing
Documentation
Discussing business processes
Understanding users
Assessing and exposing risk
Turning user scenarios into test scenarios
Source: https://dojo.ministryoftesting.com/dojo/lessons/what-do-software-testers-do-version-0-1
36. @roesslerj36
Given the customer account exists
And the customer account is activated
When the customer enters username and password
Then the customer should be loggedIn