August 1, 2022 Dataset Open Access

Macklon, Finlay; Taesiri, Mohammad Reza; Viggiato, Markos; Antoszko, Stefan; Romanova, Natalia; Paas, Dale; Bezemer, Cor-Paul

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.6950640", 
  "author": [
    {
      "family": "Macklon, Finlay"
    }, 
    {
      "family": "Taesiri, Mohammad Reza"
    }, 
    {
      "family": "Viggiato, Markos"
    }, 
    {
      "family": "Antoszko, Stefan"
    }, 
    {
      "family": "Romanova, Natalia"
    }, 
    {
      "family": "Paas, Dale"
    }, 
    {
      "family": "Bezemer, Cor-Paul"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2022, 
        8, 
        1
      ]
    ]
  }, 
  "abstract": "<p>This repository contains&nbsp;the&nbsp;snapshots (i.e., screenshot, &lt;canvas&gt; object representation&nbsp;pairs) and&nbsp;game assets&nbsp;collected from our test &lt;canvas&gt; game&nbsp;for use&nbsp;in the paper&nbsp;<code>Automatically Detecting Visual Bugs in HTML5 &lt;canvas&gt; Games</code>, accepted at ASE 2022.</p>\n\n<p>The data in this repository can be used to benchmark&nbsp;new visual bug detection approaches for HTML5 &lt;canvas&gt; games. The source code for our test &lt;canvas&gt; game and our 24 synthetic visual bugs can be found&nbsp;at the following <a href=\"https://github.com/asgaardlab/canvas-visual-bugs-testbed\">link</a>.</p>\n\n<p><a href=\"https://asgaardlab.github.io/canvas-visual-bugs-testbed/\">Project page</a><br>\n<br>\n<strong>Directory structure</strong></p>\n\n<pre> data/\n&nbsp;   | -  assets/\n&nbsp;   | -  exp_0/\n&nbsp;   |      | -  a/\n&nbsp;   |      |    | - 0.png\n&nbsp;   |      |    | - 0.json\n&nbsp;   |      |    | ...\n&nbsp;   |      |    | - 9.png\n&nbsp;   |      |    | - 9.json\n    |      | ...\n&nbsp;   |      | -  j/\n    | -  exp_appearance_1\n&nbsp;   | ...\n&nbsp;   | -  exp_state_6\n</pre>\n\n<p><br>\n<strong>Data description</strong></p>\n\n<table>\n\t<tbody>\n\t\t<tr>\n\t\t\t<td>assets/</td>\n\t\t\t<td>Source images from the test &lt;canvas&gt; game</td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td>exp_0/</td>\n\t\t\t<td>Snapshots with no visual bugs injected (okay/non-buggy experiment)</td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td>exp_*_{1,2,3,4,5,6}/</td>\n\t\t\t<td>Snapshots for each of the injected visual bugs (buggy experiments)</td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td>*/{a,b,c,d,e,f,g,h,i,j}/</td>\n\t\t\t<td>10 runs of data for each experiment</td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td>*/{0,1,2,3,4,5,6,7,8,9}.png</td>\n\t\t\t<td>10 snapshots per experiment, each snapshot has a screenshot (png)</td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td>*/{0,1,2,3,4,5,6,7,8,9}.json</td>\n\t\t\t<td>10 snapshots per experiment, each snapshot has a COR<sup>1</sup> (json)</td>\n\t\t</tr>\n\t</tbody>\n</table>\n\n<p><sup>1</sup>COR = &lt;canvas&gt; objects representation</p>", 
  "title": "Data used in the paper Automatically Detecting Visual Bugs in HTML5 <canvas> Games", 
  "type": "dataset", 
  "id": "6950640"
}