
Data for the replication package for the paper "Exploring the Capabilities of VLMs to Detect Visual Bugs in HTML5 Applications" "Exploring the Capabilities of VLMs to Detect Visual Bugs in HTML5 Applications" by Finlay Macklon and Cor-Paul Bezemer Paper pre-print: ... Data on Zenodo: bit.ly/vlm_canvas_bugs-data Code on GitHub: bit.ly/vlm_canvas_bugs-code Repositories containing applications: vlm-canvas-bugs-external-repos GitHub account See the following link on instructions for how to use this data in the replication package: bit.ly/vlm_canvas_bugs-code Directory structure: Data ├── 1a-Collecting_Canvas_Applications ├── 1b-Creating_E2E_Test_Scripts (empty) ├── 1c-Injecting_Visual_Bugs ├── 1d-Collecting_Screenshots ├── 2-Experiments └── 3-Results
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
