11 citations · 16 across the 5 of their papers we have counts for
5 papers
Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications
Finlay Macklon, Cor-Paul Bezemer
The HyperText Markup Language 5 (HTML5) <canvas> is useful for creating visual-centric web applications. However, unlike traditional web applications, HTML5 <canvas> applications r…
Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors
Mohammad Reza Taesiri, Finlay Macklon, Yihe Wang +2
Video game testing requires game-specific knowledge as well as common sense reasoning about the events in the game. While AI-driven agents can satisfy the first requirement, it is…
Automatically Detecting Visual Bugs in HTML5 <canvas> Games
Finlay Macklon, Mohammad Reza Taesiri, Markos Viggiato +4
The HTML5 <canvas> is used to display high quality graphics in web applications such as web games (i.e., <canvas> games). However, automatically testing <canvas> games is not possi…
CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning
Mohammad Reza Taesiri, Finlay Macklon, Cor-Paul Bezemer
Gameplay videos contain rich information about how players interact with the game and how the game responds. Sharing gameplay videos on social media platforms, such as Reddit, has…
A Taxonomy of Testable HTML5 Canvas Issues
Finlay Macklon, Markos Viggiato, Natalia Romanova +3
The HTML5 <canvas> is widely used to display high quality graphics in web applications. However, the combination of web, GUI, and visual techniques that are required to build <canv…