Abstract
In video game development, bug detection and reproduction are crucial for productivity. Automating these tasks has been a longstanding goal in the industry to reduce quality management costs. While Artificial Intelligence (AI) offers avenues for automation, its integration into the game development cycle is often cost-prohibitive. This paper presents a novel detection technique that leverages data readily available from the game engine and a time-saving tool for bug reproduction. Our results demonstrate a significant improvement in the bug detection and reproduction workflow, reducing the time spent by testers and developers by one-third compared to manual methods without compromising on manual testers' detection accuracy. The primary aim of this paper is to introduce the technique and validate its compatibility with game engine workflows. Utilizing the Unity engine, the developed tool specifically targets camera clipping bugs. Thus, the proposed technique, while effective, is somewhat limited in scope. For broader applications, source code adaptations are necessary to integrate with other game engines and detect various bug types.