10 papers
TempGlitch: Evaluating Vision-Language Models for Temporal Glitch Detection in Gameplay Videos
Yakun Yu, Ashley Wiens, Adrián Barahona-RÃos +4
Vision-language models (VLMs) are increasingly being explored for video game quality assurance, especially gameplay glitch detection. Most existing evaluations, however, treat glit…
RESP: Reference-guided Sequential Prompting for Visual Glitch Detection in Video Games
Yakun Yu, Ashley Wiens, Adrián Barahona-RÃos +4
Visual glitches in video games degrade player experience and perceived quality, yet manual quality assurance cannot scale to the growing test surface of modern game development. Pr…
How Far Can VLMs Go for Visual Bug Detection? Studying 19,738 Keyframes from 41 Hours of Gameplay Videos
Wentao Lu, Alexander Senchenko, Alan Sayle +2
Video-based quality assurance (QA) for long-form gameplay video is labor-intensive and error-prone, yet valuable for assessing game stability and visual correctness over extended p…
Assessing the Feasibility of Selective Instrumentation for Runtime Code Coverage in Large C++ Game Engines
Ian Gauk, Doriane Olewicki, Joshua Romoff +1
Code coverage is a valuable guide for testing, but in AAA games the overhead of instrumentation conflicts with strict performance requirements and can destabilize automated tests.…
A Systematic Literature Review of Software Engineering Research on Jupyter Notebook
Md Saeed Siddik, Hao Li, Cor-Paul Bezemer
Context: Jupyter Notebook has emerged as a versatile tool that transforms how researchers, developers, and data scientists conduct and communicate their work. As the adoption of Ju…
VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance
Mohammad Reza Taesiri, Abhijay Ghildyal, Saman Zadtootaghaj +2
With video games now generating the highest revenues in the entertainment industry, optimizing game development workflows has become essential for the sector's sustained growth. Re…