SEMay 11, 2019

GE852: A Dataset of 852 Game Engines

arXiv:1905.04482v13 citations
Originality Synthesis-oriented
AI Analysis

This provides a foundational resource for researchers and developers to study game engine quality, though it is incremental as it introduces a new dataset without novel methods.

The authors tackled the lack of a dataset for analyzing game engines by creating GE852, a dataset of 852 game engine repositories mined from GitHub in Java and C++, which includes metadata like commits and issues to support empirical research.

Game engines provide a platform for developers to build games with an interface tailored to handle the complexity during game development. To reduce effort and improve quality of game development, there is a strong need to understand and analyze the quality of game engines and their various aspects such as API usability, code quality, code reuse and so on. To the best our knowledge, we are not aware of any dataset that caters to game engines in the literature. To this end, we present GE852, a dataset of 852 game engine repositories mined from GitHub in two languages, namely Java and C++. The dataset contains metadata of all the mined repositories including commits, pull requests, issues and so on. We believe that our dataset can lay foundation for empirical investigation in the area of game engines.

Foundations

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