443 citations · 1.2k across the 50 of their papers we have counts for
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Improving IR-Based Bug Localization with Context-Aware Query Reformulation
Mohammad Masudur Rahman, Chanchal K. Roy
Recent findings suggest that Information Retrieval (IR)-based bug localization techniques do not perform well if the bug report lacks rich structured information (eg relevant progr…
Effective Reformulation of Query for Code Search using Crowdsourced Knowledge and Extra-Large Data Analytics
Mohammad Masudur Rahman, Chanchal K. Roy
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 no…
Poster: Improving Bug Localization with Report Quality Dynamics and Query Reformulation
Mohammad Masudur Rahman, Chanchal K. Roy
Recent findings from a user study suggest that IR-based bug localization techniques do not perform well if the bug report lacks rich structured information such as relevant program…
Improved Query Reformulation for Concept Location using CodeRank and Document Structures
Mohammad Masudur Rahman, Chanchal K. Roy
During software maintenance, developers usually deal with a significant number of software change requests. As a part of this, they often formulate an initial query from the reques…
Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience
Mohammad Masudur Rahman, Chanchal K. Roy, Raula G. Kula
Although peer code review is widely adopted in both commercial and open source development, existing studies suggest that such code reviews often contain a significant amount of no…
RACK: Code Search in the IDE using Crowdsourced Knowledge
Mohammad Masudur Rahman, Chanchal K. Roy, David Lo
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 quer…