ContentSuggest

Solution Description

During development and maintenance of a software product, software developers often search for relevant information in the web about an encountered error or exception, where they manually check the web pages returned by a search engine in order to extract a working solution. Both manual checking of the page content against the exception (and its context) and extracting an appropriate solution are non-trivial tasks. They are even more complicated with the bulk of noisy (e.g., advertisements, navigation menus) and irrelevant content in the web page. In this paper, we propose an IDE-based context-aware page content recommendation approach that not only returns all the noise-free (i.e., main) sections of a web page but also identifies the relevant sections of the page. The approach exploits the encountered exception and its context in the IDE in order to recommend the relevant sections of the webpage resulted from an IDE-based web search.

Categories: Search, Tools

Additional Details

Organization Name: University of Saskatchewan

Date Created: Wednesday, May 14, 2014 - 19:09

Date Updated: Thursday, May 15, 2014 - 16:57

Submitted by: Masud Rahman

Date Ranking Installs Clickthroughs
March 2024 0/0 0 6
February 2024 0/0 0 18
January 2024 0/0 0 17
December 2023 0/0 0 7
November 2023 0/0 0 12
October 2023 0/0 0 13
September 2023 0/0 0 12
August 2023 0/0 0 11
July 2023 0/0 0 8
June 2023 0/0 0 6
May 2023 0/0 0 7
April 2023 0/0 0 12
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Unsuccessful Installs

Unsuccessful Installs in the last 7 Days: 0

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