🤖 Day 23: Assess AI effectiveness in visual testing and discuss the advantages

[adrianjr (Adrian)]

Hi my fellow testers,

For today’s challenge as I have some previous experience with visual testing in the form of Applitools Eyes and have documented this in previous days. I’m going to link to my posts from previous days challenges where I have already talked about my findings:

Day 5: Identify a case study on AI in testing and share your findings

Hi my fellow testers, for todays challenge I thought rather than search for a case study I would instead share my own experiences so far with trying to use AI tools within my workplace, I hope that’s ok. Brief background on the case study Back in October last year my workplace devised a learning week for us all where the challenge was to spend a week learning something that helped us develop individually and also could indirectly have a possible future benefit to the software we develop. I cho…

and

Day 17: Automate bug reporting with AI and share your process and evaluation

Hi my fellow testers, I’ve struggled with finding a new tool for this challenge so I have fallen back on an AI tool I have used previously, which is Applitools Eyes Automated Visual Testing & Monitoring with AI - Applitools Eyes as this uses AI its in detection of issues Evaluate the Reporting Quality: Assess the accuracy, completeness and quality of the bug reports generated by AI: Are the bugs identified by the AI valid issues? This was a mixed bag as they could have potentially been issues…

I hope these are useful to everyone, I’d be very interested in hearing experiences of visual testing tools that aren’t Applitools Eyes, as this is the tool I am aware of.