activity
20182026
most citedBuilding the perfect game -- an empirical study of game modifications

27 citations · 89 across the 22 of their papers we have counts for

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Showing cs.SEShow all

16 papers · 1 filter

cs.SE2026

Automatic Model Card Generation Using an LLM

Tajkia Rahman Toma, Balreet Grewal, Cor-Paul Bezemer

Model cards are structured documents that summarize key information about machine learning models to improve transparency, usability, and accountability. However, they often lack a…

cs.SE2026

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.…

cs.SE2025

XBIDetective: Leveraging Vision Language Models for Identifying Cross-Browser Visual Inconsistencies

Balreet Grewal, James Graham, Jeff Muizelaar +4

Browser rendering bugs can be challenging to detect for browser developers, as they may be triggered by very specific conditions that are exhibited on only a very small subset of w…

cs.SE2025

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models

Wentao Lu, Alexander Senchenko, Abram Hindle +1

Modern game studios deliver new builds and patches at a rapid pace, generating thousands of bug reports, many of which embed gameplay videos. To verify and triage these bug reports…

cs.SE20253 cited

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…

cs.SE2025

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…