PAPIs 2018

Using AI for testing software is an emerging field in software engineering. So, how to do it effectively? Yet a big problem to be solved. In this presentation, we will describe how Convolutional Neural Networks (CNN) and Deep Reinforcement Learning can be used for this new endeavor by outlining the challenges, mistakes, and workarounds that we faced to be successful in using AI models to build systems that can really learn from the software they are testing. We will discuss some lessons learned when using pre-trained CNN models, Image Detection APIs and CNN's built from scratch for this purpose.