Data used in the paper Automatically Detecting Visual Bugs in HTML5 Games

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