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A Crowdsourcing framework for Detecting Cross-Browser Issues in Web Application

Published: 06 November 2015 Publication History

Abstract

With the advent of Web 2.0 application, and the increasing number of browsers and platforms on which the applications can be executed, cross-browser incompatibilities (XBIs) are becoming a serious problem for organizations to develop web-based software with good user experience. Although some techniques and tools have been proposed to identify XBIs, some XBIs are still missed as only partial state space is explored (by the crawler) in the testing environment. To address this limitation, based on record/replay technique, this paper proposed a crowdsourcing framework to detect cross-browser issues for Web application deployed in the field. Our empirical evaluation shows that the proposed technique is effective and efficient, improves on the state of the art.

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Cited By

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  • (2019)Greenify: A Game with the Purpose of Test Data Generation for Unit TestingFundamentals of Software Engineering10.1007/978-3-030-31517-7_6(77-92)Online publication date: 22-Sep-2019

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  1. A Crowdsourcing framework for Detecting Cross-Browser Issues in Web Application

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    cover image ACM Other conferences
    Internetware '15: Proceedings of the 7th Asia-Pacific Symposium on Internetware
    November 2015
    247 pages
    ISBN:9781450336413
    DOI:10.1145/2875913
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • Key Laboratory of High Confidence Software Technologies: Key Laboratory of High Confidence Software Technologies, Ministry of Education

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 November 2015

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    Author Tags

    1. Crowdsourcing
    2. Record/Replay
    3. Web Application

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    • Short-paper
    • Research
    • Refereed limited

    Funding Sources

    • National Natural Science Foundation of China
    • National Key Technology R&D Program of China
    • National Basic Research 973 Program of China
    • High-Tech Research and Development 863 Program of China under grand

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    Internetware '15

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    Overall Acceptance Rate 55 of 111 submissions, 50%

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    • (2019)Greenify: A Game with the Purpose of Test Data Generation for Unit TestingFundamentals of Software Engineering10.1007/978-3-030-31517-7_6(77-92)Online publication date: 22-Sep-2019

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