Published August 1, 2022
| Version v1
Dataset
Open
Data used in the paper Automatically Detecting Visual Bugs in HTML5 <canvas> Games
Creators
- 1. University of Alberta
- 2. Prodigy Education
Description
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
Files
Files
(781.8 MB)
Name | Size | Download all |
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md5:6637b702f5f5483a3968e042264cf2e7
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781.8 MB | Download |