DocumentCode
555434
Title
Detecting cross-browser issues in web applications
Author
Choudhary, Shauvik Roy
Author_Institution
Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2011
fDate
21-28 May 2011
Firstpage
1146
Lastpage
1148
Abstract
Cross-browser issues are prevalent in web applications. However, existing tools require considerable manual effort from developers to detect such issues. Our technique and prototype tool - WEBDIFF detects such issues automatically and reports them to the developer. Along with each issue reported, the tool also provides details about the affected HTML element, thereby helping the developer to fix the issue. WEBDIFF is the first technique to apply concepts from computer vision and graph theory to identify cross-browser issues in web applications. Our results show that WEBDIFF is practical and can find issues in real world web applications.
Keywords
Internet; computer vision; graph theory; hypermedia markup languages; online front-ends; program testing; HTML element; WEBDIFF; computer vision; cross-browser issues; graph theory; prototype tool; real world Web applications; Browsers; Computer vision; Manuals; Software engineering; Testing; Visualization; Web pages; computer vision; dynamic analysis; tree matching; web testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2011 33rd International Conference on
Conference_Location
Honolulu, HI
ISSN
0270-5257
Print_ISBN
978-1-4503-0445-0
Electronic_ISBN
0270-5257
Type
conf
DOI
10.1145/1985793.1986024
Filename
6032616
Link To Document