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Related papers: An IDE-Based Context-Aware Meta Search Engine

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Study shows that software developers spend about 19% of their time looking for information in the web during software development and maintenance. Traditional web search forces them to leave the working environment (e.g., IDE) and look for…

Software Engineering · Computer Science 2018-07-09 Mohammad Masudur Rahman , Shamima Yeasmin , Chanchal K. Roy

Despite various debugging supports of the existing IDEs for programming errors and exceptions, software developers often look at web for working solutions or any up-to-date information. Traditional web search does not consider the context…

Software Engineering · Computer Science 2018-07-09 Mohammad Masudur Rahman , Chanchal K. Roy

The crucial role of the evaluation in the development of the information retrieval tools is useful evidence to improve the performance of these tools and the quality of results that they return. However, the classic evaluation approaches…

Information Retrieval · Computer Science 2011-06-01 Abdelkrim Bouramoul , Mohamed-Khireddine Kholladi , Bich-Lien Doan

Traditional code search engines often do not perform well with natural language queries since they mostly apply keyword matching. These engines thus require carefully designed queries containing information about programming APIs for code…

Software Engineering · Computer Science 2018-07-13 Mohammad Masudur Rahman , Chanchal K. Roy , David Lo

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…

Software Engineering · Computer Science 2018-07-09 Mohammad Masudur Rahman , Chanchal K. Roy

Studies show that software developers often either misuse exception handling features or use them inefficiently, and such a practice may lead an undergoing software project to a fragile, insecure and non-robust application system. In this…

Software Engineering · Computer Science 2018-07-09 Mohammad Masudur Rahman , Chanchal K. Roy

Contextual retrieval is a critical technique for today's search engines in terms of facilitating queries and returning relevant information. This paper reports on the development and evaluation of a system designed to tackle some of the…

Information Retrieval · Computer Science 2014-07-24 Dilip K. Limbu , Andy M. Connor , Russel Pears , Stephen G. MacDonell

Traditional code search engines often do not perform well with natural language queries since they mostly apply keyword matching. These engines thus need carefully designed queries containing information about programming APIs for code…

Software Engineering · Computer Science 2018-07-10 Mohammad Masudur Rahman , Chanchal K. Roy , David Lo

Software developers frequently issue generic natural language queries for code search while using code search engines (e.g., GitHub native search, Krugle). Such queries often do not lead to any relevant results due to vocabulary mismatch…

Software Engineering · Computer Science 2018-07-25 Mohammad Masudur Rahman , Chanchal K. Roy

Many users struggle with effective online search and critical evaluation, especially in high-stakes domains like health, while often overestimating their digital literacy. Thus, in this demo, we present an interactive search companion that…

Human-Computer Interaction · Computer Science 2026-01-19 Markus Bink , Marten Risius , Udo Kruschwitz , David Elsweiler

The exponential growth of information source on the web and in turn continuing technological progress of searching the information by using tools like Search Engines gives rise to many problems for the user to know which tool is best for…

Information Retrieval · Computer Science 2025-03-13 Rajender Nath , Satinder Bal

Finding relevant research literature in online databases is a familiar challenge to all researchers. General search approaches trying to tackle this challenge fall into two groups: one-time search and life-time search. We observe that both…

Information Retrieval · Computer Science 2022-06-28 Teddy Lazebnik , Hanna Weitman , Yoav Goldberg , Gal A. Kaminka

Search engines are the most commonly used type of tool for finding relevant information on the Internet. However, today's search engines are far from perfect. Typical search queries are short, often one or two words, and can be ambiguous…

Information Retrieval · Computer Science 2014-07-24 Dilip K. Limbu , Andy M. Connor , Stephen G. MacDonell

Software developers have benefited from various sources of knowledge such as forums, question-and-answer sites, and social media platforms to help them in various tasks. Extracting software-related knowledge from different platforms…

Information Retrieval · Computer Science 2018-11-01 Agus Sulistya , Gede Artha Azriadi Prana , Abhishek Sharma , David Lo , Christoph Treude

Search is an integral part of a software development process. Developers often use search engines to look for information during development, including reusable code snippets, API understanding, and reference examples. Developers tend to…

Typically, search engines provide query suggestions to assist users in the search process. Query suggestions are very important for improving users search experience. However, most query suggestions are based on the user's search logs, and…

Information Retrieval · Computer Science 2022-06-29 Seungmin Kim , EunChan Na , Seong Baeg Kim

The rapid growth of web has resulted in vast volume of information. Information availability at a rapid speed to the user is vital. English language (or any for that matter) has lot of ambiguity in the usage of words. So there is no…

Information Retrieval · Computer Science 2011-08-30 Jeevan H E , Prashanth P P , Punith Kumar S N , Vinay Hegde

While meta-analytic research is performed, it becomes time-consuming to filter through the sheer amount of sources made available by individual databases and search engines and therefore degrades the specificity of source analysis. This…

Information Retrieval · Computer Science 2020-08-05 Ananth Goyal

Problem Statement: The huge number of information on the web as well as the growth of new inexperienced users creates new challenges for information retrieval. It has become increasingly difficult for these users to find relevant documents…

Information Retrieval · Computer Science 2011-06-14 Abdelkrim Bouramoul , Mohamed-Khireddine Kholladi , Bich-Lien Doan

The explosion of information constrains the judgement of search terms associated with Knowledge-Based Web Ecosystem (KBWE), making the retrieval of relevant information and its knowledge management challenging. The existing information…

Information Retrieval · Computer Science 2020-12-11 Dengya Zhu , Shastri Lakshman Nimmagadda , Torsten Reiners , Amit Rudra
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