• 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