Dataset Open Access
Dimitris Mitropoulos;
Panos Louridas;
Vitalis Salis;
Diomidis Spinellis
We present a massive dataset (~2 TB) of client-side JavaScript code. Specifically, we have collected and stored on adaily basis JavaScript code from Alexa's Top 10000 web sites (~7.5 GB per day) for nine consecutive months. Our collection involved both inline scripts extracted from each web site's main page and external scripts linked from it. In order to aid researchers identify similar scripts and examine their popularity and evolution, we have produced hashes that represent the scripts' logical structure. Furthermore, we have analyzed the resulting dataset with well-established static analysis tools, generating additional metadata including reports with quality bugs and vulnerable libraries.
Name | Size | |
---|---|---|
defects-jshint.json
md5:a342f46c1cd00d322d00db54995f096b |
5.0 MB | Download |
defects-retire.json
md5:fb9aa18838570dcf633f81f5b4c54b37 |
358.6 MB | Download |
hashes.tar.gz
md5:0af19c80475a5397dbfe585f24d113c5 |
536.5 MB | Download |
js_evolution_data.tar.gz
md5:6e17d9020e0b4f0f41fd5007f9d3d2e3 |
60.4 GB | Download |
All versions | This version | |
---|---|---|
Views | 418 | 418 |
Downloads | 271 | 271 |
Data volume | 8.4 TB | 8.4 TB |
Unique views | 354 | 354 |
Unique downloads | 133 | 133 |