Md Fazle Rabbi - Publication

Journal Papers

2025

A. Champa, M. Rabbi, F. Eishita and M. Zibran, "Catch Me If You See: Using Visual Cue and Explanatory Feedback to Enhance Human Phishing Detection," in IEEE Access, vol. 13, pp. 193249-193272, 2025, doi: 10.1109/ACCESS.2025.3631670.

Conference Papers

2026

M. Rabbi, A. Turzo, A. Champa and M. Zibran, "The SBOM Gap: Adoption and Compliance in Open Source Software." In 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 1 - 12, Limassol, Cyprus, IEEE, 2026 (to appear).
A. Champa, M. Rabbi, and M. Zibran, "Battling Phish: An Empirical Comparison of ML, DL, and LLM in Phishing URL Detection Across Datasets." In 41st ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 1 - 10, Greece, ACM, 2026 (to appear).

2025

M. Rabbi, R. Paul, A. Champa, and M. Zibran, "Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 290-294, Canada, IEEE, 2025.
M. Rabbi, A. Champa, R. Paul, and M. Zibran, "Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem?" In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 265-269, Canada, IEEE, 2025.
M. Rabbi, A. Champa, and M. Zibran, "Claim vs. Capability: A Comparative Analysis of the SBOM Generation Tools for Rust Projects," In 40th ACM/SIGAPP Symposium On Applied Computing (SAC '25), pp. 1712-1720, Italy, 2025.
B. Chowdhury, M. Rabbi, S. Hasan, and M. Zibran, "Insights into Dependency Maintenance Trends in the Maven Ecosystem." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 280-284, Canada, IEEE, 2025.
M. Shafin, M. Rabbi, S. Hasan, and M. Zibran, "Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management." In 22nd IEEE International Conference on Mining Software Repositories (MSR), pp. 275-279, Canada, IEEE, 2025. [Best Paper in MSR Mining Challenge track]
M. Bhuiyan, M. Rabbi, S. Hasan, and M. Zibran, "The Popularity Paradox: Insights into Vulnerabilities and Updates in Maven Ecosystem." In 8th IEEE International Conference on Software and System Engineering (ICoSSE), pp. 45-50, France, IEEE, 2025.

2024

M. Rabbi, A. Champa, C. Nachuma and M. Zibran, "SBOM Generation Tools Under Microscope: A Focus on the npm Ecosystem," In 39th ACM/SIGAPP Symposium On Applied Computing (ACM SAC), pp. 1233-1241, Avila, Spain, 2024.
M. Rabbi, A. Champa, M. Zibran, and M. Islam, "AI Writes, We Analyze: The ChatGPT Python Code Saga," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 177 - 181, Portugal, 2024.
A. Champa, M. Rabbi, C. Nachuma, and M. Zibran, "ChatGPT in Action: Analyzing Its Use in Software Development," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 182 - 186, Portugal, 2024.
M. Islam, M. Rabbi, J. Youngeun, A. Champa, E. Young, C. Wilson, G. Scott, and M. Zibran. "A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering," In 21st ACM International Conference on Mining Software Repositories (MSR), pp. 487 - 491, Portugal, 2024.
A. Champa, M. Rabbi, and M. Zibran, "Why Phishing Emails Escape Detection: A Closer Look at the Failure Points", In 12th IEEE International Symposium on Digital Forensics and Security (ISDFS), pp. 1 - 6, San Antonio, TX, USA, 2024.
A. Champa, M. Rabbi, and M. Zibran, "Curated Datasets and Feature Analysis for Phishing Email Detection with Machine Learning", In 3rd IEEE International Conference on Computing and Machine Intelligence (ICMI), pp. 1 - 7, USA, 2024.
A. Champa, M. Rabbi, and M. Zibran, "Deep Enough? On the Effectiveness of Deep Learning in Phishing Email Detection", In 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, (AIBThings), pp. 1 - 7, MI, USA, 2024.

2023

M. Rabbi, A. Champa and M. Zibran, "Phishy? Detecting Phishing Emails Using ML and NLP," In 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), pp. 77-83, Orlando, FL, USA, 2023.
A. Champa, M. Rabbi, M. Zibran and M. Islam, "Insights into Female Contributions in Open-Source Projects," In 20th IEEE/ACM International Conference on Mining Software Repositories (MSR), pp. 357-361, Melbourne, Australia, 2023.
A. Champa, M. Rabbi, F. Eishita and M. Zibran, "Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors," In 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), pp. 287-294, Orlando, FL, USA, 2023.

Book Chapters

A. Champa, M. Rabbi, F. Eishita and M. Zibran. "Trick or Treat: A Study of Human Detection of Manipulative Tactics in Phishing Emails." In International Workshop on Safety-Security Interaction (SENSEI), Lecture Notes in Computer Science, vol 15955, pp. 299 - 311, https://doi.org/10.1007/978-3-032-02018-5_22, Springer, 2025.
A. Champa, M. Rabbi, and M. Zibran, "Illustration or Illusion? Reassessing the Use of Machine Learning in Phishing Email Detection," In Software Engineering and Management: Theory and Applications, pp. 137-153. Springer, Cham, 2025.
C. Nachuma, M. Rabbi, A. Champa, and M. Zibran, "Analyzing ChatGPT Assistance in Programming," In Software Engineering and Management: Theory and Applications, pp. 203-215. Springer, Cham, 2025.
Z. Beck, A. Crooks, M. Rabbi, M. Zibran, and F. Eishita. "Password Security in Practice: An Appraisal Using Users' Perception and Machine Learning," In The 22nd International Conference on Information Technology-New Generations (ITNG 2025). ITNG 2025. Advances in Intelligent Systems and Computing, vol 1463. Springer, Cham.
M. Rabbi, A. Champa, and M. Zibran, "Phishy? Detecting Phishing Emails Using Machine Learning and Natural Language Processing," in Software Engineering and Management: Theory and Application: Volume 16, R. Lee, Ed. Cham: Springer Nature Switzerland, 2024, pp. 119–137.
A. Champa, M. Rabbi, F. Eishita, and M. Zibran, "Are We Aware? An Empirical Study on the Privacy and Security Awareness of Smartphone Sensors," in Software Engineering and Management: Theory and Application: Volume 16, R. Lee, Ed. Cham: Springer Nature Switzerland, 2024, pp. 139–158.

Posters

M. Rabbi, A. Champa, R. Paul, and M. Zibran. Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem?, International Conference on Software Engineering (ICSE), 2025.
M. Rabbi. Exploring ChatGPT-Written Python Code Quality and Security. In NSF Cybersecurity Summit at Carnegie Mellon University, USA, 2024.
C. Nachuma, M. Rabbi, A. Champa, M. Zibran. ChatGPT in Aiding Software Development: An Empirical Study. in 4th Annual iETC Conference, Logan, Utah, 2024. [Best Poster]
M. Rabbi, A. Champa, and M. Zibran. Phishing Email Detection Using Machine Learning and Natural Language Processing. In Graduate Research Symposium at the Idaho State University, USA, 2023.
A. Champa, M. Rabbi, and M. Zibran. Insights into Gender-wise Contributions in Software Development Projects. In Graduate Research Symposium at the Idaho State University, USA, 2023.