An Empirical Study of the Impacts of Clones in Software Maintenance. - Manishankar Mondal; Md. Saidur Rahman 002; Ripon K. Saha; Chanchal K. Roy; Jens Krinke; Kevin A. Schneider (ICPC, 2011)

Comparative stability of cloned and non-cloned code: an empirical study. - Manishankar Mondal; Chanchal K. Roy; Md. Saidur Rahman 002; Ripon K. Saha; Jens Krinke; Kevin A. Schneider (SAC, 2012)

On the relationships between domain-based coupling and code clones: an exploratory study. - Md. Saidur Rahman 002; Amir Aryani; Chanchal K. Roy; Fabrizio Perin (ICSE, 2013)

A Change-Type Based Empirical Study on the Stability of Cloned Code. - Md. Saidur Rahman 002; Chanchal K. Roy (SCAM, 2014)

On the Relationships Between Stability and Bug-Proneness of Code Clones: An Empirical Study. - Md. Saidur Rahman 002; Chanchal K. Roy (SCAM, 2017)

Is cloned code really stable? - Manishankar Mondal; Md. Saidur Rahman 002; Chanchal K. Roy; Kevin A. Schneider (Empir. Softw. Eng., 2018)

Machine Learning Software Engineering in Practice: An Industrial Case Study. - Md. Saidur Rahman 002; Emilio Rivera; Foutse Khomh; Yann-Gaël Guéhéneuc; Bernd Lehnert (CoRR, 2019)

Are Multi-language Design Smells Prevalent? An Empirical Study. - Mouna Abidi; Md. Saidur Rahman 002; Moses Openja; Foutse Khomh (CoRR, 2020)

Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness. - Zeinab Azadeh Kermansaravi; Md. Saidur Rahman 002; Foutse Khomh; Fehmi Jaafar; Yann-Gaël Guéhéneuc (Empir. Softw. Eng., 2021)

Are Multi-Language Design Smells Fault-Prone? An Empirical Study. - Mouna Abidi; Md. Saidur Rahman 002; Moses Openja; Foutse Khomh (ACM Trans. Softw. Eng. Methodol., 2021)

Challenges in machine learning application development: an industrial experience report. - Md. Saidur Rahman 002; Foutse Khomh; Emilio Rivera; Yann-Gaël Guéhéneuc; Bernd Lehnert (SE4RAI@ICSE, 2022)

Multi-language design smells: a backstage perspective. - Mouna Abidi; Md. Saidur Rahman 002; Moses Openja; Foutse Khomh (Empir. Softw. Eng., 2022)

Clones in deep learning code: what, where, and why? - Hadhemi Jebnoun; Md. Saidur Rahman 002; Foutse Khomh; Biruk Asmare Muse (Empir. Softw. Eng., 2022)

Machine learning application development: practitioners' insights. - Md. Saidur Rahman 002; Foutse Khomh; Alaleh Hamidi; Jinghui Cheng; Giuliano Antoniol; Hironori Washizaki (Softw. Qual. J., 2023)

Design smells in multi-language systems and bug-proneness: a survival analysis. - Mouna Abidi; Md. Saidur Rahman 002; Moses Openja; Foutse Khomh (Empir. Softw. Eng., 2024)