A cross-browser web application testing tool

Choudhary, Shauvik Roy; Versee, Husayn; Orso, Alessandro

doi:10.1109/icsm.2010.5609728

Cited by 15 publications

(9 citation statements)

References 7 publications

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“…To evaluate our technique, we implemented it in a tool [12] and performed experiments by exercising it on nine web pages as described in [13]. More specifically, we investigated the following two research questions related to the usefulness of the technique:…”

Section: Evaluation and Discussionmentioning

confidence: 99%

Detecting cross-browser issues in web applications

Choudhary

2011

Proceedings of the 33rd International Conference on Software Engineering

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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.

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Section: Evaluation and Discussionmentioning

confidence: 99%

Detecting cross-browser issues in web applications

Choudhary

2011

Proceedings of the 33rd International Conference on Software Engineering

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“…O estado da arte nestaárea apresenta a implementação de várias ferramentas para detecção automática de XBIs, tais como: WebDiff [5], CrossCheck [3], X-Pert [4], WebMate [6] e Broswerbite [7]. As ferramentas possuem o propósito de utilizar a análise da estrutura DOM, comparação de imagens, isomorfismo de grafos, aprendizado de máquina e comparação da posição relativa para detecção de XBIs.…”

Section: Trabalhos Relacionadosunclassified

Detecção Automática de Incompatibilidades Cross-Browser utilizando Redes Neurais Artificiais

Paes

Watanabe

2016

JADI

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Nosúltimos anos as aplicações Web se tornaram mais populares, principalmente com o advento da Web 2.0 que proporcionou aos usuários maior interação na organização do conteúdo, pelo fato dos ambientes online estarem mais dinâmicos. Entretanto, os recentes avanços em termos de tecnologias, elevou a complexidade de desenvolvimento de aplicações Web. As aplicações Web seguem um tradicional modelo cliente-servidor, onde parte da aplicação contém componentes sendo executados no lado do servidor e outra parte dos componentes sendo carregados e executados do lado do cliente.

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“…Using CRAWLJAX and Selenium to automate events on DOM elements and tools to monitor the HTTP traffic, they captured Ajax-specific resources. Zheng and Zhang proposed an approach to perform bug tracking in Ajax applications[107], and Choudary et al proposed a cross-browser approach for testing RIAs[25].…”

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confidence: 99%

Exploring the Intersections of Web Science and Accessibility

Bostic

Stanley

Higgins

et al. 2019

Human Systems Engineering and Design II

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The web is the prominent way information is exchanged in the 21st century. However, ensuring web-based information is accessible is complicated, particularly with web applications that rely on JavaScript and other technologies to deliver and build representations; representations are often the HTML, images, or other code a server delivers for a web resource. Static representations are becoming rarer and assessing the accessibility of web-based information to ensure it is available to all users is increasingly difficult given the dynamic nature of representations.In this work, we survey three ongoing research threads that can inform web accessibility solutions: assessing web accessibility, modeling web user activity, and web application crawling. Current web accessibility research is continually focused on increasing the percentage of automatically testable standards, but still relies heavily upon manual testing for complex interactive applications. Along-side web accessibility research, there are mechanisms developed by researchers that replicate user interactions with web pages based on usage patterns. Crawling web applications is a broad research domain; exposing content in web applications is difficult because of incompatibilities in web crawlers and the technologies used to create the applications. We describe research on crawling the deep web by exercising user forms. We close with a thought exercise regarding the convergence of these three threads and the future of automated, web-based accessibility evaluation and assurance through a use case in web archiving. These research efforts provide insight into how users interact with websites, how to automate and simulate user interactions, how to record the results of user interactions, and how to analyze, evaluate, and map resulting website content to determine its relative accessibility.

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A cross-browser web application testing tool

Cited by 15 publications

References 7 publications

Detecting cross-browser issues in web applications

Detecting cross-browser issues in web applications

Detecção Automática de Incompatibilidades Cross-Browser utilizando Redes Neurais Artificiais

Exploring the Intersections of Web Science and Accessibility

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