Recommending Relevant Sections from a Webpage about Programming Errors and Exceptions
Mohammad Masudur Rahman, Chanchal K. Roy

TL;DR
This paper introduces a context-aware, IDE-integrated method for recommending relevant webpage sections about programming errors, improving developers' efficiency by filtering out irrelevant content during troubleshooting.
Contribution
It presents a novel, context-sensitive approach for extracting relevant webpage sections related to programming exceptions within an IDE environment.
Findings
High precision, recall, and F1-measure in evaluations
Effective filtering of irrelevant webpage content
Outperforms existing techniques like VSM and LSA
Abstract
Programming errors or exceptions are inherent in software development and maintenance, and given today's Internet era, software developers often look at web for finding working solutions. They make use of a search engine for retrieving relevant pages, and then look for the appropriate solutions by manually going through the pages one by one. However, both the manual checking of a page's content against a given exception (and its context) and then working an appropriate solution out are non-trivial tasks. They are even more complex and time-consuming with the bulk of irrelevant (i.e., off-topic) and noisy (e.g., advertisements) content in the web page. In this paper, we propose an IDE-based and context-aware page content recommendation technique that locates and recommends relevant sections from a given web page by exploiting the technical details, in particular, the context of an…
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