1 Research products, page 1 of 1
Loading
- Publication . Article . 2018Open Access IndonesianAuthors:Zhen Xu; James Miller;Zhen Xu; James Miller;Publisher: Universitas Dian Nuswantoro
Due to the rapid evolution of web applications and computer techniques, visual incompatibility of web pages has become a problem across different browsers and platforms influencing the functionality of the web applications. At the present, researchers have made progress to address such issues; in addition, many commercial tools have emerged as well. However, drawbacks still exist in the existing work, where fully automate testing at the system level is still not achieved. In this paper, we attempt to propose a framework to detect the cross browser visual incompatibilities automatically. Highlights of the proposed framework include template based case organization, version based automation, and similarity embedded incompatibilities identification.
Average/low popularityAverage/low popularityAverage/low influencePopularity: Citation-based measure reflecting the current impact.Average/low influenceInfluence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.
1 Research products, page 1 of 1
Loading
- Publication . Article . 2018Open Access IndonesianAuthors:Zhen Xu; James Miller;Zhen Xu; James Miller;Publisher: Universitas Dian Nuswantoro
Due to the rapid evolution of web applications and computer techniques, visual incompatibility of web pages has become a problem across different browsers and platforms influencing the functionality of the web applications. At the present, researchers have made progress to address such issues; in addition, many commercial tools have emerged as well. However, drawbacks still exist in the existing work, where fully automate testing at the system level is still not achieved. In this paper, we attempt to propose a framework to detect the cross browser visual incompatibilities automatically. Highlights of the proposed framework include template based case organization, version based automation, and similarity embedded incompatibilities identification.
Average/low popularityAverage/low popularityAverage/low influencePopularity: Citation-based measure reflecting the current impact.Average/low influenceInfluence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.