Mohammad Masudur Rahman

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University of Saskatchewan

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Corporation de l'ecole Polytechnique de Montreal

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research

∙ 01/06/2022

On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems

Code smells indicate software design problems that harm software quality...

Biruk Asmare Muse, et al. ∙

research

∙ 11/24/2021

The Reproducibility of Programming-Related Issues in Stack Overflow Questions

Software developers often look for solutions to their code-level problem...

Saikat Mondal, et al. ∙

research

∙ 08/22/2021

A Systematic Literature Review of Automated Query Reformulations in Source Code Search

Software developers often fix critical bugs to ensure the reliability of...

Mohammad Masudur Rahman, et al. ∙

research

∙ 08/16/2021

Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling

Due to the variety of cyber-attacks or threats, the cybersecurity commun...

Md Imran Hossen, et al. ∙

research

∙ 08/11/2021

The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study

Being light-weight and cost-effective, IR-based approaches for bug local...

Mohammad Masudur Rahman, et al. ∙

research

∙ 08/11/2021

Why are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion

Software developers attempt to reproduce software bugs to understand the...

Mohammad Masudur Rahman, et al. ∙

research

∙ 03/18/2019

Recommending Comprehensive Solutions for Programming Tasks by Mining Crowd Knowledge

Developers often search for relevant code examples on the web for their ...

Rodrigo F. G. Silva, et al. ∙

research

∙ 08/01/2018

Improving IR-Based Bug Localization with Context-Aware Query Reformulation

Recent findings suggest that Information Retrieval (IR)-based bug locali...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/23/2018

Effective Reformulation of Query for Code Search using Crowdsourced Knowledge and Extra-Large Data Analytics

Software developers frequently issue generic natural language queries fo...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/20/2018

Poster: Improving Bug Localization with Report Quality Dynamics and Query Reformulation

Recent findings from a user study suggest that IR-based bug localization...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/12/2018

Improved Query Reformulation for Concept Location using CodeRank and Document Structures

During software maintenance, developers usually deal with a significant ...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/12/2018

Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience

Although peer code review is widely adopted in both commercial and open ...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/12/2018

RACK: Code Search in the IDE using Crowdsourced Knowledge

Traditional code search engines often do not perform well with natural l...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/12/2018

STRICT: Information Retrieval Based Search Term Identification for Concept Location

During maintenance, software developers deal with numerous change reques...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/09/2018

CORRECT: Code Reviewer Recommendation in GitHub Based on Cross-Project and Technology Experience

Peer code review locates common coding rule violations and simple logica...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/09/2018

QUICKAR: Automatic Query Reformulation for Concept Location using Crowdsourced Knowledge

During maintenance, software developers deal with numerous change reques...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/09/2018

CORRECT: Code Reviewer Recommendation at GitHub for Vendasta Technologies

Peer code review locates common coding standard violations and simple lo...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/09/2018

RACK: Automatic API Recommendation using Crowdsourced Knowledge

Traditional code search engines often do not perform well with natural l...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/06/2018

Recommending Insightful Comments for Source Code using Crowdsourced Knowledge

Recently, automatic code comment generation is proposed to facilitate pr...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/06/2018

Recommending Relevant Sections from a Webpage about Programming Errors and Exceptions

Programming errors or exceptions are inherent in software development an...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/06/2018

TextRank Based Search Term Identification for Software Change Tasks

During maintenance, software developers deal with a number of software c...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/06/2018

On the Use of Context in Recommending Exception Handling Code Examples

Studies show that software developers often either misuse exception hand...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/06/2018

SurfClipse: Context-Aware Meta Search in the IDE

Despite various debugging supports of the existing IDEs for programming ...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/06/2018

Towards a Context-Aware IDE-Based Meta Search Engine for Recommendation about Programming Errors and Exceptions

Study shows that software developers spend about 19 for information in t...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/05/2018

An IDE-Based Context-Aware Meta Search Engine

Traditional web search forces the developers to leave their working envi...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/05/2018

An Insight into the Pull Requests of GitHub

Given the increasing number of unsuccessful pull requests in GitHub proj...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/05/2018

Impact of Continuous Integration on Code Reviews

Peer code review and continuous integration often interleave with each o...

Mohammad Masudur Rahman, et al. ∙

research

∙ 07/05/2018

An Insight into the Unresolved Questions at Stack Overflow

For a significant number of questions at Stack Overflow, none of the pos...

Mohammad Masudur Rahman, et al. ∙