The Experts below are selected from a list of 9486 Experts worldwide ranked by ideXlab platform

Jianling Sun - One of the best experts on this subject based on the ideXlab platform.

  • discovering explaining and summarizing Controversial Discussions in community q a sites
    Automated Software Engineering, 2019
    Co-Authors: Xiaoxue Ren, Zhenchang Xing, Xin Xia, Jianling Sun
    Abstract:

    Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated quality indicators (e.g., accepted answer, answer vote) cannot reliably identify these answer problems. Such problematic answers are often criticized by other users. However, these critiques are not readily discoverable when reading the posts. In this paper, we consider the answers being criticized and their critique posts as Controversial Discussions in community Q&A sites. To help developers notice such Controversial Discussions and make more informed choices of appropriate solutions, we design an automatic open information extraction approach for systematically discovering and summarizing the controversies in Stack Overflow and exploiting official API documentation to assist the understanding of the discovered controversies. We apply our approach to millions of java/android-tagged Stack overflow questions and answers and discover a large scale of Controversial Discussions in Stack Overflow. Our manual evaluation confirms that the extracted controversy information is of high accuracy. A user study with 18 developers demonstrates the usefulness of our generated controversy summaries in helping developers avoid the Controversial answers and choose more appropriate solutions to programming questions.

  • ASE - Discovering, Explaining and Summarizing Controversial Discussions in Community Q&A Sites
    2019 34th IEEE ACM International Conference on Automated Software Engineering (ASE), 2019
    Co-Authors: Xiaoxue Ren, Zhenchang Xing, Xin Xia, Jianling Sun
    Abstract:

    Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated quality indicators (e.g., accepted answer, answer vote) cannot reliably identify these answer problems. Such problematic answers are often criticized by other users. However, these critiques are not readily discoverable when reading the posts. In this paper, we consider the answers being criticized and their critique posts as Controversial Discussions in community Q&A sites. To help developers notice such Controversial Discussions and make more informed choices of appropriate solutions, we design an automatic open information extraction approach for systematically discovering and summarizing the controversies in Stack Overflow and exploiting official API documentation to assist the understanding of the discovered controversies. We apply our approach to millions of java/android-tagged Stack overflow questions and answers and discover a large scale of Controversial Discussions in Stack Overflow. Our manual evaluation confirms that the extracted controversy information is of high accuracy. A user study with 18 developers demonstrates the usefulness of our generated controversy summaries in helping developers avoid the Controversial answers and choose more appropriate solutions to programming questions.

Juerg Schefer - One of the best experts on this subject based on the ideXlab platform.

  • Growth and characterization of large high quality brownmillerite CaFeO2.5 single crystals
    CrystEngComm, 2012
    Co-Authors: Monica Ceretti, Werner Paulus, Andrea Piovano, Giovanni Agostini, Alain Cousson, Olivier Hernandez, Carlo Lamberti, Martin Meven, Juerg Schefer
    Abstract:

    The growth conditions of large and high quality single-crystals of CaFeO2.5 by the floating-zone technique in an image furnace are discussed. Structural characterization of the as grown single crystals have been carried out by neutron and X-ray diffraction as well as by HRTEM revealed the excellent quality in terms of composition homogeneity and crystalline quality. Magnetic measurements have been performed on oriented crystals by SQUID and neutron diffraction in the range of 5-700 K in order to clear up Controversial Discussions on possible magnetic phase transitions. The magnetic transitions reported elsewhere are discussed in terms of oxygen non-stoichiometries leading to multiphase CaFeO2.5+/-[small delta] related to the crystal growth conditions.

Xiaoxue Ren - One of the best experts on this subject based on the ideXlab platform.

  • discovering explaining and summarizing Controversial Discussions in community q a sites
    Automated Software Engineering, 2019
    Co-Authors: Xiaoxue Ren, Zhenchang Xing, Xin Xia, Jianling Sun
    Abstract:

    Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated quality indicators (e.g., accepted answer, answer vote) cannot reliably identify these answer problems. Such problematic answers are often criticized by other users. However, these critiques are not readily discoverable when reading the posts. In this paper, we consider the answers being criticized and their critique posts as Controversial Discussions in community Q&A sites. To help developers notice such Controversial Discussions and make more informed choices of appropriate solutions, we design an automatic open information extraction approach for systematically discovering and summarizing the controversies in Stack Overflow and exploiting official API documentation to assist the understanding of the discovered controversies. We apply our approach to millions of java/android-tagged Stack overflow questions and answers and discover a large scale of Controversial Discussions in Stack Overflow. Our manual evaluation confirms that the extracted controversy information is of high accuracy. A user study with 18 developers demonstrates the usefulness of our generated controversy summaries in helping developers avoid the Controversial answers and choose more appropriate solutions to programming questions.

  • ASE - Discovering, Explaining and Summarizing Controversial Discussions in Community Q&A Sites
    2019 34th IEEE ACM International Conference on Automated Software Engineering (ASE), 2019
    Co-Authors: Xiaoxue Ren, Zhenchang Xing, Xin Xia, Jianling Sun
    Abstract:

    Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated quality indicators (e.g., accepted answer, answer vote) cannot reliably identify these answer problems. Such problematic answers are often criticized by other users. However, these critiques are not readily discoverable when reading the posts. In this paper, we consider the answers being criticized and their critique posts as Controversial Discussions in community Q&A sites. To help developers notice such Controversial Discussions and make more informed choices of appropriate solutions, we design an automatic open information extraction approach for systematically discovering and summarizing the controversies in Stack Overflow and exploiting official API documentation to assist the understanding of the discovered controversies. We apply our approach to millions of java/android-tagged Stack overflow questions and answers and discover a large scale of Controversial Discussions in Stack Overflow. Our manual evaluation confirms that the extracted controversy information is of high accuracy. A user study with 18 developers demonstrates the usefulness of our generated controversy summaries in helping developers avoid the Controversial answers and choose more appropriate solutions to programming questions.

Zhenchang Xing - One of the best experts on this subject based on the ideXlab platform.

  • discovering explaining and summarizing Controversial Discussions in community q a sites
    Automated Software Engineering, 2019
    Co-Authors: Xiaoxue Ren, Zhenchang Xing, Xin Xia, Jianling Sun
    Abstract:

    Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated quality indicators (e.g., accepted answer, answer vote) cannot reliably identify these answer problems. Such problematic answers are often criticized by other users. However, these critiques are not readily discoverable when reading the posts. In this paper, we consider the answers being criticized and their critique posts as Controversial Discussions in community Q&A sites. To help developers notice such Controversial Discussions and make more informed choices of appropriate solutions, we design an automatic open information extraction approach for systematically discovering and summarizing the controversies in Stack Overflow and exploiting official API documentation to assist the understanding of the discovered controversies. We apply our approach to millions of java/android-tagged Stack overflow questions and answers and discover a large scale of Controversial Discussions in Stack Overflow. Our manual evaluation confirms that the extracted controversy information is of high accuracy. A user study with 18 developers demonstrates the usefulness of our generated controversy summaries in helping developers avoid the Controversial answers and choose more appropriate solutions to programming questions.

  • ASE - Discovering, Explaining and Summarizing Controversial Discussions in Community Q&A Sites
    2019 34th IEEE ACM International Conference on Automated Software Engineering (ASE), 2019
    Co-Authors: Xiaoxue Ren, Zhenchang Xing, Xin Xia, Jianling Sun
    Abstract:

    Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated quality indicators (e.g., accepted answer, answer vote) cannot reliably identify these answer problems. Such problematic answers are often criticized by other users. However, these critiques are not readily discoverable when reading the posts. In this paper, we consider the answers being criticized and their critique posts as Controversial Discussions in community Q&A sites. To help developers notice such Controversial Discussions and make more informed choices of appropriate solutions, we design an automatic open information extraction approach for systematically discovering and summarizing the controversies in Stack Overflow and exploiting official API documentation to assist the understanding of the discovered controversies. We apply our approach to millions of java/android-tagged Stack overflow questions and answers and discover a large scale of Controversial Discussions in Stack Overflow. Our manual evaluation confirms that the extracted controversy information is of high accuracy. A user study with 18 developers demonstrates the usefulness of our generated controversy summaries in helping developers avoid the Controversial answers and choose more appropriate solutions to programming questions.

Xin Xia - One of the best experts on this subject based on the ideXlab platform.

  • discovering explaining and summarizing Controversial Discussions in community q a sites
    Automated Software Engineering, 2019
    Co-Authors: Xiaoxue Ren, Zhenchang Xing, Xin Xia, Jianling Sun
    Abstract:

    Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated quality indicators (e.g., accepted answer, answer vote) cannot reliably identify these answer problems. Such problematic answers are often criticized by other users. However, these critiques are not readily discoverable when reading the posts. In this paper, we consider the answers being criticized and their critique posts as Controversial Discussions in community Q&A sites. To help developers notice such Controversial Discussions and make more informed choices of appropriate solutions, we design an automatic open information extraction approach for systematically discovering and summarizing the controversies in Stack Overflow and exploiting official API documentation to assist the understanding of the discovered controversies. We apply our approach to millions of java/android-tagged Stack overflow questions and answers and discover a large scale of Controversial Discussions in Stack Overflow. Our manual evaluation confirms that the extracted controversy information is of high accuracy. A user study with 18 developers demonstrates the usefulness of our generated controversy summaries in helping developers avoid the Controversial answers and choose more appropriate solutions to programming questions.

  • ASE - Discovering, Explaining and Summarizing Controversial Discussions in Community Q&A Sites
    2019 34th IEEE ACM International Conference on Automated Software Engineering (ASE), 2019
    Co-Authors: Xiaoxue Ren, Zhenchang Xing, Xin Xia, Jianling Sun
    Abstract:

    Developers often look for solutions to programming problems in community Q&A sites like Stack Overflow. Due to the crowdsourcing nature of these Q&A sites, many user-provided answers are wrong, less optimal or out-of-date. Relying on community-curated quality indicators (e.g., accepted answer, answer vote) cannot reliably identify these answer problems. Such problematic answers are often criticized by other users. However, these critiques are not readily discoverable when reading the posts. In this paper, we consider the answers being criticized and their critique posts as Controversial Discussions in community Q&A sites. To help developers notice such Controversial Discussions and make more informed choices of appropriate solutions, we design an automatic open information extraction approach for systematically discovering and summarizing the controversies in Stack Overflow and exploiting official API documentation to assist the understanding of the discovered controversies. We apply our approach to millions of java/android-tagged Stack overflow questions and answers and discover a large scale of Controversial Discussions in Stack Overflow. Our manual evaluation confirms that the extracted controversy information is of high accuracy. A user study with 18 developers demonstrates the usefulness of our generated controversy summaries in helping developers avoid the Controversial answers and choose more appropriate solutions to programming questions.