Unity Engine Dissection: Improvement Points in Comparison between Unity Engine and Open-Source Engines
This paper provides a comprehensive analysis of the Unity engine, a widely adopted tool in the game development industry, comparing it to various other game engines and offering targeted recommendations for improvement.By conducting a thorough examination of Unity's architecture, features, and capabilities, the study assesses the engine's competitiveness and identifies key areas where it both excels and faces challenges.Unity is particularly praised for its user-friendly interface, broad cross-platform support, and extensive community-driven asset store, which have contributed to its widespread use among developers of different skill levels.However, the engine also encounters significant issues in terms of performance optimization, system stability in large-scale projects, and limited customization options.For example, benchmark tests indicate that Unity maintains 60 FPS on standard hardware but experiences significant drops when rendering over 1,000 dynamic objects.To address these challenges, this paper suggests a series of concrete strategies aimed at improving Unity's performance metrics, enhancing stability across multiple platforms, and expanding its customization capabilities for advanced developers.This paper establishes evaluation criteria and suggests future development directions through a detailed dissection of Unity.Furthermore, this study advocates for better optimization tools and licensing models to make Unity more accessible and effective for developers working on complex projects.This systematic evaluation not only sheds light on the strengths and weaknesses of Unity but also provides actionable insights that contribute valuable knowledge to game developers, researchers, and other stakeholders in the gaming industry.
Authors
- Taegyu Lee (ORCID: https://orcid.org/0000-0002-1666-6689)
Publication Details
- Journal
- Asia-pacific Journal of Convergent Research Interchange
- Published
- 2024-11-29
- DOI
- https://doi.org/10.47116/apjcri.2024.11.33
- Citations
- 2
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.66