ABMMRS Eradicator: Improving Accuracy in Recommending Move Methods for Web-based MVC Projects and Libraries Using Method's External Dependencies. - Atish Kumar Dipongkor; Iftekhar Ahmed 005; Rayhanul Islam; Nadia Nahar; Abdus Satter; Md. Saeed Siddik (Int. J. Softw. Eng. Knowl. Eng., 2020)

A Novel Approach for Converting N-Dimensional Dataset into Two Dimensions to Improve Accuracy in Software Defect Prediction. - Rayhanul Islam; Abdus Satter; Atish Kumar Dipongkor; Md. Saeed Siddik; Kazi Sakib (J. Softw., 2020)

DAAB: Deep Authorship Attribution in Bengali. - Atish Kumar Dipongkor; Md. Saiful Islam 003; Humayun Kayesh; Md. Shafaeat Hossain; Adnan Anwar; Khandaker Abir Rahman; Imran Razzak (IJCNN, 2021)

A Comparative Study of Transformer-Based Neural Text Representation Techniques on Bug Triaging. - Atish Kumar Dipongkor; Kevin Moran (ASE, 2023)

On Fusing Artificial and Convolutional Neural Network Features for Automatic Bug Assignments. - Atish Kumar Dipongkor; Md. Saiful Islam 003; Ishtiaque Hussain; Sira Yongchareon; Sajib Mistry (IEEE Access, 2023)

Towards Interpreting the Behavior of Large Language Models on Software Engineering Tasks. - Atish Kumar Dipongkor (ICSE Companion, 2024)

An Ensemble Method for Bug Triaging using Large Language Models. - Atish Kumar Dipongkor (ICSE Companion, 2024)

Can Large Language Models Comprehend Code Stylometry? - Atish Kumar Dipongkor (ASE, 2024)

Reassessing Code Authorship Attribution in the Era of Language Models. - Atish Kumar Dipongkor; Ziyu Yao 002; Kevin Moran (CoRR, 2025)