Automatic Verification of Virtual Environment Content using Artificial Agents

Name: Alfredo Nantes

Title (PhD): Automatic Verification of Virtual Environment Content using Artificial Agents

Abstract: Game environments are complex interactive systems that require extensive analysis and testing to ensure that they are at a high enough quality to be released commercially. While the game software under development is partially tested by using other ordinary software, the last build of the product needs an additional and extensive beta test carried out by people that play the game in order to establish its veracity and playability. This entails additional costs from the viewpoint of a company as it requires the hiring of beta testers.

The proposed course of research aims at investigating the development of software architectures based on Computer Vision and Machine Learning techniques that will enable the test team to improve and accelerate the beta testing process.

This work comes into being as a novel project as it represents an innovative application of Machine Learning and Computer Vision techniques in the area of video games testing that, to the best of our knowledge, have never been investigated.