• DocumentCode
    700386
  • Title

    amAssist: In-IDE ambient search of online programming resources

  • Author

    Hongwei Li ; Xuejiao Zhao ; Zhenchang Xing ; Lingfeng Bao ; Xin Peng ; Dongjing Gao ; Wenyun Zhao

  • Author_Institution
    Sch. of Comput. Sci., Fudan Univ., Shanghai, China
  • fYear
    2015
  • fDate
    2-6 March 2015
  • Firstpage
    390
  • Lastpage
    398
  • Abstract
    Developers work in the IDE, but search online resources in the web browser. The separation of the working and search context often cause the ignorance of the working context during online search. Several tools have been proposed to integrate the web browser into the IDE so that developers can search and use online resources directly in the IDE. These tools enable only the shallow integration of the web browser and the IDE. Some tools allow the developer to augment search queries with program entities in the current snapshot of the code. In this paper, we present an in-IDE ambient search agent to bridge the separation of the developer´s working context and search context. Our approach considers the developers´ working context in the IDE as a time-series stream of programming event observed from the developer´s interaction with the IDE over time. It supports the deeper integration of the working context in the entire search process from query formulation, custom search, to search results refinement and representation. We have implemented our ambient search agent and integrate it into the Eclipse IDE. We conducted a user study to evaluate our approach and the tool support. Our evaluation shows that our ambient search agent can better aid developers in searching and using online programming resources while working in the IDE.
  • Keywords
    Internet; online front-ends; query processing; time series; ubiquitous computing; Eclipse IDE; IDE ambient search; Web browser; amAssist; ambient search agent; custom search; online programming resources; online resources; online search; program entity; programming event; query formulation; search context; search query; time-series stream; Browsers; Context; Google; Libraries; Programming; Search engines; Web pages; Context Sensing; Context-Aware Search; Contextual Search Results Annotation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Analysis, Evolution and Reengineering (SANER), 2015 IEEE 22nd International Conference on
  • Conference_Location
    Montreal, QC
  • Type

    conf

  • DOI
    10.1109/SANER.2015.7081849
  • Filename
    7081849