An Empirical Study of Vulnerabilities in Robotics. - Kaitlyn Cottrell; Dibyendu Brinto Bose; Hossain Shahriar; Akond Rahman (COMPSAC, 2021)

How Do Students Feel About Automated Security Static Analysis Exercises? - Akond Rahman; Hossain Shahriar; Dibyendu Brinto Bose (FIE, 2021)

'Under-reported' Security Defects in Kubernetes Manifests. - Dibyendu Brinto Bose; Akond Rahman; Md. Shazibul Islam Shamim (EnCyCriS@ICSE, 2021)

Exercise Perceptions: Experience Report from a Secure Software Development Course. - Akond Rahman; Hossain Shahriar; Dibyendu Brinto Bose (QUATIC, 2021)

Vision for a secure Elixir ecosystem: an empirical study of vulnerabilities in Elixir programs. - Dibyendu Brinto Bose; Kaitlyn Cottrell; Akond Rahman (ACM Southeast Regional Conference, 2022)

What questions do developers ask about Julia? - Dibyendu Brinto Bose; Gerald C. Gannod; Akond Rahman; Kaitlyn Cottrell (ACM Southeast Regional Conference, 2022)

Exploring the Barriers and Factors that Influence Debugger Usage for Students. - Minhyuk Ko; Dibyendu Brinto Bose; Hemayet Ahmed Chowdhury; Mohammed Seyam; Chris Brown 001 (VL/HCC, 2023)

Come for syntax, stay for speed, understand defects: an empirical study of defects in Julia programs. - Akond Rahman; Dibyendu Brinto Bose; Raunak Shakya; Rahul Pandita (Empir. Softw. Eng., 2023)

Security Misconfigurations in Open Source Kubernetes Manifests: An Empirical Study. - Akond Rahman; Shazibul Islam Shamim; Dibyendu Brinto Bose; Rahul Pandita (ACM Trans. Softw. Eng. Methodol., 2023)

Optimizing AR Application Testing: Integrating Metamorphic Testing to Address Developer and End-User Challenges. - Dibyendu Brinto Bose; Brendan David-John; Chris Brown 001 (HCI (66), 2024)

An Empirical Study on Current Practices and Challenges of Core AR/VR Developers. - Dibyendu Brinto Bose; Chris Brown 001 (ASE Workshops, 2024)

Understanding the Performance of Large Language Model to Generate SQL Queries. - Minhyuk Ko; Dibyendu Brinto Bose; Weilu Wang; Mohammed Seyam; Chris Brown 001 (VL/HCC, 2024)

An empirical study of task infections in Ansible scripts. - Akond Rahman; Dibyendu Brinto Bose; Yue Zhang 051; Rahul Pandita (Empir. Softw. Eng., 2024)

Defect Categorization in Compilers: A Multi-vocal Literature Review. - Akond Rahman; Dibyendu Brinto Bose; Farhat Lamia Barsha; Rahul Pandita (ACM Comput. Surv., 2024)

StackDPP: a stacking ensemble based DNA-binding protein prediction model. - Sheikh Hasib Ahmed; Dibyendu Brinto Bose; Rafi Khandoker; M. Saifur Rahman (BMC Bioinform., 2024)

From Prompts to Properties: Rethinking LLM Code Generation with Property-Based Testing. - Dibyendu Brinto Bose (SIGSOFT FSE Companion, 2025)

AutoPyDep: A Recommendation System for Python Dependency Management Utilizing Graph-Based Analytics. - Dibyendu Brinto Bose; Travis Chan; Matthew Trimble; Chris Brown 001 (SIGSOFT FSE Companion, 2025)