An Automated Approach for Cross-Browser Inconsistency (XBI) Detection

Patidar, Chandra Prakash; Sharma, Meera

doi:10.1145/2998476.2998496

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…A few divergences for presentation of components or substance of a webbased application around diverse browsers may be known as Cross-Browser Inconsistency. When a customer run a web application on many browsers, then some web application demonstrates different behaviors and as a result introduces Cross-Browser Inconsistencies (XBIs) [1]. If cross browser inconsistencies are not being legitimately tried for the testing phase, subsequently it could negatively impact the knowledge of the client of the web application.…”

Section: Introductionmentioning

confidence: 99%

Recognition of Cross Browser Inconsistency by crawling and comparing extracted attributes

Patidar¹,

Sharma²,

Sharda³

2017

IJERA

Self Cite

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The advancement over web innovation is distinguishment for web applications that amplifies inconsistencies between different web browsers. These incompatibilities supplement cross browser incompatibilities that contain modified look at evolving browsers for a specific web application. For a percentage cases, Cross-Browser Inconsistencies (XBIs) comprises for satisfactory difference, while these might actually prevent clients starting with gaining entrance to and only a web application's purpose for different situations. Therefore, testing procedure of a web provision must a chance to be performed efficiently looking into different browsers with accomplish consistency. Available techniques and tools oblige a significant manual exertion on remember such issues; also furnish restricted help to settling those reason for the issues. In this paper, we recommend a technique to identifying cross-browser issues without human obstruction.

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Section: Introductionmentioning

confidence: 99%

Recognition of Cross Browser Inconsistency by crawling and comparing extracted attributes

Patidar¹,

Sharma²,

Sharda³

2017

IJERA

Self Cite

View full text Add to dashboard Cite

show abstract

Layout cross-browser incompatibility detection using machine learning and DOM segmentation

Paes

Watanabe

2018

Proceedings of the 33rd Annual ACM Symposium on Applied Computing

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A Systematic Literature Review in Cross-browser Testing

Sabaren

Mascheroni

Greiner

et al. 2018

JC&ST

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Many users access web pages from different browsers looking for the same user experience in all of them. However, there are several causes that produce compatibility issues. Those defects affect functionalities and user interface components. In this paper we present a systematic literature review which aims to find and summarize existing techniques, tools and challenges related to cross-browser testing. According to the results, the most used technique is the visual analysis. However, there are still challenges to face. The most important challenge is the identification of dynamic components in the user interface. Cross-browser compatibility topics are getting importance according to an increment in published articles. Nevertheless, there are techniques that are not completely developed yet and do not fully support test automation practices.

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An Automated Approach for Cross-Browser Inconsistency (XBI) Detection

Cited by 3 publications

References 4 publications

Recognition of Cross Browser Inconsistency by crawling and comparing extracted attributes

Recognition of Cross Browser Inconsistency by crawling and comparing extracted attributes

Layout cross-browser incompatibility detection using machine learning and DOM segmentation

A Systematic Literature Review in Cross-browser Testing

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