Dataset Open Access
Data used in the paper Automatically Detecting Visual Bugs in HTML5 <canvas> Games
Macklon, Finlay; Taesiri, Mohammad Reza; Viggiato, Markos; Antoszko, Stefan; Romanova, Natalia; Paas, Dale; Bezemer, Cor-Paul
This repository contains the snapshots (i.e., screenshot, <canvas> object representation pairs) and game assets collected from our test <canvas> game for use in the paper Automatically Detecting Visual Bugs in HTML5 <canvas> Games, accepted at ASE 2022.
The data in this repository can be used to benchmark new visual bug detection approaches for HTML5 <canvas> games. The source code for our test <canvas> game and our 24 synthetic visual bugs can be found at the following link.
Project page
Directory structure
data/
| - assets/
| - exp_0/
| | - a/
| | | - 0.png
| | | - 0.json
| | | ...
| | | - 9.png
| | | - 9.json
| | ...
| | - j/
| - exp_appearance_1
| ...
| - exp_state_6
Data description
| assets/ | Source images from the test <canvas> game |
| exp_0/ | Snapshots with no visual bugs injected (okay/non-buggy experiment) |
| exp_*_{1,2,3,4,5,6}/ | Snapshots for each of the injected visual bugs (buggy experiments) |
| */{a,b,c,d,e,f,g,h,i,j}/ | 10 runs of data for each experiment |
| */{0,1,2,3,4,5,6,7,8,9}.png | 10 snapshots per experiment, each snapshot has a screenshot (png) |
| */{0,1,2,3,4,5,6,7,8,9}.json | 10 snapshots per experiment, each snapshot has a COR1 (json) |
1COR = <canvas> objects representation
| Name | Size | |
|---|---|---|
|
canvas_game_visual_bugs.tar.gz
md5:6637b702f5f5483a3968e042264cf2e7 |
781.8 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 43 | 43 |
| Downloads | 3 | 3 |
| Data volume | 2.3 GB | 2.3 GB |
| Unique views | 34 | 34 |
| Unique downloads | 2 | 2 |
- Publication date:
- August 1, 2022
- DOI:
-
- License (for files):
- Creative Commons Attribution 4.0 International