1. Automated Identification of Cross-browser Issues
in Modern Web Applications
Shauvik Roy Choudhary, Husayn Versee, Alessandro Orso
(1) Abstract
Cross-browser bugs are prevalent in modern web applications
Cross-browser testing is still fairly immature
We propose a new approach based on differential testing to detect cross-browser bugs by combining:
(3) Technique
Collect data
Ignore variable elements
Match DOM trees
X-browser compare b T . d 1 2 3
Bug report
Comparison of DOM trees across browsers
Use of visual information obtained through screen capture
(2) Motivation
Issues:
Layout Bugs: Different categories: size, visibility, position and appearance
Functionality Bugs: Broken functionality of web page elements (related work: Selenium, Crawljax)
Mozilla Firefox
Internet Explorer
(4) Results
Subject
# Issues Reported
False Positives
False Negatives
Pos.
Size
Vis.
Gen.
Tot.
GATECH 2 3 1 6
0 (0%)
BECKER 12 17
1 (6.25%)
CHESNUT 8 4 16
2 (14.3%)
CRSTI 9
DUICTRL 23
4 (21%)
JTWED 14
ORTHO
2 (100%)
PROTOOLS 5 11 20
9 (81%)
SPEED 33
3 (10%)
TOTAL 55 50 37
142
21 (17%)