Crossy-road.gitlab May 2026

You can adapt the sections based on your actual implementation. Authors: [Your Name(s)] Affiliation: [Your University/Organization] Date: [Current Date] Abstract Crossy Road is a popular endless arcade game where the player navigates a character across roads, railways, and rivers. This paper presents the design, implementation, and continuous integration pipeline for a clone named Crossy-Road.GitLab , hosted and automated entirely on GitLab. We discuss the game architecture (using Python/Pygame or Unity/C#), the version control strategy, automated testing, and the GitLab CI/CD pipeline that builds, tests, and packages the game on every commit. Our results show that GitLab’s integrated DevOps platform significantly reduces integration overhead for game development projects. The repository is available at crossy-road.gitlab .

def test_player_car_collision(): player = Player(100, 200) car = Car(100, 200, speed=5) assert player.collides_with(car) == True | Metric | Before CI | With GitLab CI | |--------|-----------|----------------| | Manual test time per commit | 5 min | 0 (automated) | | Build time (Linux) | 2 min manual | 1 min (cached) | | Bug escape rate (collision) | 12% | 2% | | Release cadence | weekly | per merge to main | crossy-road.gitlab

build-linux: stage: build script: - pyinstaller --onefile src/main.py artifacts: paths: - dist/main You can adapt the sections based on your

Below I have outlined a suitable for an undergraduate or graduate project report / short conference paper on implementing Crossy Road (the infinite arcade hopper) using GitLab for CI/CD and version control. We discuss the game architecture (using Python/Pygame or

stages: - test - build - package test: stage: test script: - pip install pytest pygame - pytest tests/ artifacts: reports: junit: report.xml