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Adaptive random testing for image comparison in regression web testing

Conference Paper


Abstract


  • Web applications have become the most popular

    type of software in the past decade, attracting the attention of

    both the academia and the industry. In parallel with their

    popularity, the complexity of aesthetics and functionality of web

    applications have also increased significantly, creating a big

    challenge for maintenance and cross-browser compliance testing.

    Since such testing and verification activities require visual

    analysis, web application testing has not been sufficiently

    automated. In this paper, we propose a novel pairwise image

    comparison approach suitable for web application testing where

    the location of layout faults needs to be detected efficiently while

    insignificant variations being neglected. This technique is

    developed based on the characteristics of fault patterns of

    browser layouts. An empirical study conducted with the industry

    partner shows our approach is more effective and efficient than

    existing methods in this area.

Publication Date


  • 2014

Citation


  • Selay, E., Zhou, Z. & Zou, J. (2014). Adaptive random testing for image comparison in regression web testing. 2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014 (pp. 1-7). United States: IEEE.

Scopus Eid


  • 2-s2.0-84922511727

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3369

Has Global Citation Frequency


Start Page


  • 1

End Page


  • 7

Place Of Publication


  • United States

Abstract


  • Web applications have become the most popular

    type of software in the past decade, attracting the attention of

    both the academia and the industry. In parallel with their

    popularity, the complexity of aesthetics and functionality of web

    applications have also increased significantly, creating a big

    challenge for maintenance and cross-browser compliance testing.

    Since such testing and verification activities require visual

    analysis, web application testing has not been sufficiently

    automated. In this paper, we propose a novel pairwise image

    comparison approach suitable for web application testing where

    the location of layout faults needs to be detected efficiently while

    insignificant variations being neglected. This technique is

    developed based on the characteristics of fault patterns of

    browser layouts. An empirical study conducted with the industry

    partner shows our approach is more effective and efficient than

    existing methods in this area.

Publication Date


  • 2014

Citation


  • Selay, E., Zhou, Z. & Zou, J. (2014). Adaptive random testing for image comparison in regression web testing. 2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014 (pp. 1-7). United States: IEEE.

Scopus Eid


  • 2-s2.0-84922511727

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3369

Has Global Citation Frequency


Start Page


  • 1

End Page


  • 7

Place Of Publication


  • United States