12 citations · 14 across the 4 of their papers we have counts for
25 papers
On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems
Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy +3
Code smells indicate software design problems that harm software quality. Data-intensive systems that frequently access databases often suffer from SQL code smells besides the trad…
The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study
Mohammad Masudur Rahman, Foutse Khomh, Shamima Yeasmin +1
Being light-weight and cost-effective, IR-based approaches for bug localization have shown promise in finding software bugs. However, the accuracy of these approaches heavily depen…
Why are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion
Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio
Software developers attempt to reproduce software bugs to understand their erroneous behaviours and to fix them. Unfortunately, they often fail to reproduce (or fix) them, which le…
Recommending Comprehensive Solutions for Programming Tasks by Mining Crowd Knowledge
Rodrigo F. G. Silva, Chanchal K. Roy, Mohammad Masudur Rahman +3
Developers often search for relevant code examples on the web for their programming tasks. Unfortunately, they face two major problems. First, the search is impaired due to a lexic…
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…