An IDE-based context-aware meta search engine. - Mohammad Masudur Rahman 001; Shamima Yeasmin; Chanchal K. Roy (WCRE, 2013)

Towards a context-aware IDE-based meta search engine for recommendation about programming errors and exceptions. - Mohammad Masudur Rahman 001; Shamima Yeasmin; Chanchal K. Roy (CSMR-WCRE, 2014)

SurfClipse: Context-Aware Meta-search in the IDE. - Mohammad Masudur Rahman 001; Chanchal K. Roy (ICSME, 2014)

An insight into the pull requests of GitHub. - Mohammad Masudur Rahman 001; Chanchal K. Roy (MSR, 2014)

On the Use of Context in Recommending Exception Handling Code Examples. - Mohammad Masudur Rahman 001; Chanchal K. Roy (SCAM, 2014)

Recommending relevant sections from a webpage about programming errors and exceptions. - Mohammad Masudur Rahman 001; Chanchal K. Roy (CASCON, 2015)

An Insight into the Unresolved Questions at Stack Overflow. - Mohammad Masudur Rahman 001; Chanchal K. Roy (MSR, 2015)

Recommending insightful comments for source code using crowdsourced knowledge. - Mohammad Masudur Rahman 001; Chanchal K. Roy; Iman Keivanloo (SCAM, 2015)

TextRank based search term identification for software change tasks. - Mohammad Masudur Rahman 001; Chanchal K. Roy (SANER, 2015)

CoRReCT: code reviewer recommendation in GitHub based on cross-project and technology experience. - Mohammad Masudur Rahman 001; Chanchal K. Roy; Jason A. Collins (ICSE (Companion Volume), 2016)

CORRECT: code reviewer recommendation at GitHub for Vendasta technologies. - Mohammad Masudur Rahman 001; Chanchal Kumar Roy; Jesse Redl; Jason A. Collins (ASE, 2016)

QUICKAR: automatic query reformulation for concept location using crowdsourced knowledge. - Mohammad Masudur Rahman 001; Chanchal K. Roy (ASE, 2016)

Embedded Emotion-based Classification of Stack Overflow Questions Towards the Question Quality Prediction. - Amit Kumar Mondal; Mohammad Masudur Rahman 001; Chanchal K. Roy (SEKE, 2016)

RACK: Automatic API Recommendation Using Crowdsourced Knowledge. - Mohammad Masudur Rahman 001; Chanchal Kumar Roy; David Lo 001 (SANER, 2016)

RACK: code search in the IDE using crowdsourced knowledge. - Mohammad Masudur Rahman 001; Chanchal Kumar Roy; David Lo 001 (ICSE (Companion Volume), 2017)

Impact of continuous integration on code reviews. - Mohammad Masudur Rahman 001; Chanchal K. Roy (MSR, 2017)

Predicting usefulness of code review comments using textual features and developer experience. - Mohammad Masudur Rahman 001; Chanchal K. Roy; Raula Gaikovina Kula (MSR, 2017)

STRICT: Information retrieval based search term identification for concept location. - Mohammad Masudur Rahman 001; Chanchal K. Roy (SANER, 2017)

Improved query reformulation for concept location using CodeRank and document structures. - Mohammad Masudur Rahman 001; Chanchal K. Roy (PeerJ Prepr., 2017)

Improving bug localization with report quality dynamics and query reformulation. - Mohammad Masudur Rahman 001; Chanchal K. Roy (ICSE (Companion Volume), 2018)

Effective Reformulation of Query for Code Search Using Crowdsourced Knowledge and Extra-Large Data Analytics. - Mohammad Masudur Rahman 001; Chanchal K. Roy (ICSME, 2018)

NLP2API: Query Reformulation for Code Search Using Crowdsourced Knowledge and Extra-Large Data Analytics. - Mohammad Masudur Rahman 001; Chanchal K. Roy (ICSME, 2018)

Improving IR-based bug localization with context-aware query reformulation. - Mohammad Masudur Rahman 001; Chanchal K. Roy (ESEC/SIGSOFT FSE, 2018)

Poster: Improving Bug Localization with Report Quality Dynamics and Query Reformulation. - Mohammad Masudur Rahman 001; Chanchal K. Roy (CoRR, 2018)

Supporting code search with context-aware, analytics-driven, effective query reformulation. - Mohammad Masudur Rahman 001 (ICSE (Companion Volume), 2019)

Recommending comprehensive solutions for programming tasks by mining crowd knowledge. - Rodrigo Fernandes Gomes da Silva; Chanchal K. Roy; Mohammad Masudur Rahman 001; Kevin A. Schneider; Klérisson Vinícius Ribeiro Paixão; Marcelo de Almeida Maia (ICPC, 2019)

Can issues reported at stack overflow questions be reproduced?: an exploratory study. - Saikat Mondal; Mohammad Masudur Rahman 001; Chanchal K. Roy (MSR, 2019)

Automatic query reformulation for code search using crowdsourced knowledge. - Mohammad Masudur Rahman 001; Chanchal K. Roy; David Lo 001 (Empir. Softw. Eng., 2019)

Why are Some Bugs Non-Reproducible? : -An Empirical Investigation using Data Fusion-. - Mohammad Masudur Rahman 001; Foutse Khomh; Marco Castelluccio (ICSME, 2020)

The Scent of Deep Learning Code: An Empirical Study. - Hadhemi Jebnoun; Houssem Ben Braiek; Mohammad Masudur Rahman 001; Foutse Khomh (MSR, 2020)

On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems. - Biruk Asmare Muse; Mohammad Masudur Rahman 001; Csaba Nagy 001; Anthony Cleve; Foutse Khomh; Giuliano Antoniol (MSR, 2020)

CROKAGE: effective solution recommendation for programming tasks by leveraging crowd knowledge. - Rodrigo Fernandes Gomes da Silva; Chanchal K. Roy; Mohammad Masudur Rahman 001; Kevin A. Schneider; Klérisson V. R. Paixão; Carlos Eduardo de Carvalho Dantas; Marcelo de Almeida Maia (Empir. Softw. Eng., 2020)

Early Detection and Guidelines to Improve Unanswered Questions on Stack Overflow. - Saikat Mondal; C. M. Khaled Saifullah; Avijit Bhattacharjee; Mohammad Masudur Rahman 001; Chanchal K. Roy (ISEC, 2021)

Summarizing Relevant Parts from Technical Videos. - Mahmood Vahedi; Mohammad Masudur Rahman 001; Foutse Khomh; Gias Uddin 001; Giuliano Antoniol (SANER, 2021)

A Systematic Literature Review of Automated Query Reformulations in Source Code Search. - Mohammad Masudur Rahman 001; Chanchal K. Roy (CoRR, 2021)

The forgotten role of search queries in IR-based bug localization: an empirical study. - Mohammad Masudur Rahman 001; Foutse Khomh; Shamima Yeasmin; Chanchal K. Roy (Empir. Softw. Eng., 2021)

Improved retrieval of programming solutions with code examples using a multi-featured score. - Rodrigo F. Silva; Mohammad Masudur Rahman 001; Carlos Eduardo de Carvalho Dantas; Chanchal Kumar Roy; Foutse Khomh; Marcelo de Almeida Maia (J. Syst. Softw., 2021)

The reproducibility of programming-related issues in Stack Overflow questions. - Saikat Mondal; Mohammad Masudur Rahman 001; Chanchal K. Roy; Kevin A. Schneider (Empir. Softw. Eng., 2022)

Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs. - Mohammad Masudur Rahman 001; Foutse Khomh; Marco Castelluccio (Empir. Softw. Eng., 2022)

Complementary material for the book "Optimising the Software Development Process with Artificial Intelligence". - José Raúl Romero; Inmaculada Medina-Bulo; Francisco Chicano; Liyan Song; Leandro L. Minku; Fitsum Meshesha Kifetew; Anna Perini; Angelo Susi; Antonio Garmendia; Dominik Bork; Martin Eisenberg; Thiago do Nascimento Ferreira; et al. (Zenodo, 2022)

Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation. - Parvez Mahbub; Ohiduzzaman Shuvo; Mohammad Masudur Rahman 001 (ICSE, 2023)

Bugsplainer: Leveraging Code Structures to Explain Software Bugs with Neural Machine Translation. - Parvez Mahbub; Mohammad Masudur Rahman 001; Ohiduzzaman Shuvo; Avinash Gopal (ICSME, 2023)

Recommending Code Reviews Leveraging Code Changes with Structured Information Retrieval. - Ohiduzzaman Shuvo; Parvez Mahbub; Mohammad Masudur Rahman 001 (ICSME, 2023)

Defectors: A Large, Diverse Python Dataset for Defect Prediction. - Parvez Mahbub; Ohiduzzaman Shuvo; Mohammad Masudur Rahman 001 (MSR, 2023)

Do Subjectivity and Objectivity Always Agreeƒ A Case Study with Stack Overflow Questions. - Saikat Mondal; Mohammad Masudur Rahman 001; Chanchal K. Roy (MSR, 2023)

Towards Understanding the Impacts of Textual Dissimilarity on Duplicate Bug Report Detection. - Sigma Jahan; Mohammad Masudur Rahman 001 (SANER, 2023)

Do Subjectivity and Objectivity Always Agree? A Case Study with Stack Overflow Questions. - Saikat Mondal; Mohammad Masudur Rahman 001; Chanchal K. Roy (CoRR, 2023)

Answering Follow-up Questions on Bug Reports with Structured Information Retrieval and Deep Learning. - Usmi Mukherjee; Mohammad Masudur Rahman 001 (CoRR, 2023)

Intelligent Software Maintenance. - Foutse Khomh; Mohammad Masudur Rahman 001; Antoine Barbez (Optimising the Software Development Process with Artificial Intelligence, 2023)

A Systematic Review of Automated Query Reformulations in Source Code Search. - Mohammad Masudur Rahman 001; Chanchal K. Roy (ACM Trans. Softw. Eng. Methodol., 2023)

On the Prevalence, Evolution, and Impact of Code Smells in Simulation Modelling Software. - Riasat Mahbub; Mohammad Masudur Rahman 001; Muhammad Ahsanul Habib (SCAM, 2024)

Predicting Line-Level Defects by Capturing Code Contexts with Hierarchical Transformers. - Parvez Mahbub; Mohammad Masudur Rahman 001 (SANER, 2024)

Can We Identify Stack Overflow Questions Requiring Code Snippets? Investigating the Cause & Effect of Missing Code Snippets. - Saikat Mondal; Mohammad Masudur Rahman 001; Chanchal K. Roy (SANER, 2024)

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering. - Mehil B. Shah; Mohammad Masudur Rahman 001; Foutse Khomh (CoRR, 2024)

Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification. - Sigma Jahan; Mehil B. Shah; Parvez Mahbub; Mohammad Masudur Rahman 001 (ICSE, 2025)

Improved IR-Based Bug Localization with Intelligent Relevance Feedback. - Asif Mohammed Samir; Mohammad Masudur Rahman 001 (ICPC, 2025)

Towards Enhancing IR-Based Bug Localization Leveraging Texts and Multimedia from Bug Reports. - Shamima Yeasmin; Chanchal K. Roy; Kevin A. Schneider; Mohammad Masudur Rahman 001; Kartik Mittal; Ryder Hardy (ICPC, 2025)

Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models? - Sigma Jahan; Mohammad Masudur Rahman 001 (SIGSOFT FSE Companion, 2025)

Towards enhancing the reproducibility of deep learning bugs: an empirical study. - Mehil B. Shah; Mohammad Masudur Rahman 001; Foutse Khomh (Empir. Softw. Eng., 2025)

Understanding the Impact of Domain Term Explanation on Duplicate Bug Report Detection. - Usmi Mukherjee; Mohammad Masudur Rahman 001 (CoRR, 2025)

Taxonomy of Faults in Attention-Based Neural Networks. - Sigma Jahan; Saurabhsingh Rajput; Tushar Sharma; Mohammad Masudur Rahman 001 (CoRR, 2025)

Towards understanding the challenges of bug localization in deep learning systems. - Sigma Jahan; Mehil B. Shah; Mohammad Masudur Rahman 001 (Empir. Softw. Eng., 2025)