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)

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md5:6637b702f5f5483a3968e042264cf2e7
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