Publications
Peer-reviewed work in empirical software engineering, dependency ecosystems, package popularity, and AI-assisted tools.
Profile & citations: Google Scholar (updated Jan 2026)
2025
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Understanding the Popularity of Packages in Maven Ecosystem
Sadman Jashim Sakib, Muhammad Asaduzzaman, Curtis Bright, Cole Morgan
2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR), Ottawa, Canada, pp. 364–368
Mining Challenge Track
IEEE Xplore · DOI: 10.1109/MSR66628.2025.00067 · Preprint (PDF) · ResearchGateLarge-scale empirical study analyzing 103,315 Maven packages (≥2 years old) to uncover drivers of package popularity, adoption patterns, growth/peak/decay trends, and implications for ecosystem health and dependency evaluation.
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Toward Better Dependency Management in Python Projects
Sadman Jashim Sakib
Electronic Theses and Dissertations 9776, University of Windsor, 2025
M.Sc. Thesis (Defended: May 9, 2025)
UWindsor Scholarship · Direct PDF · Mirror PDF (group site)Proposed SMT-based techniques (e.g., SMTpip prototype) to resolve version conflicts and handle missing/incomplete configuration files in Python dependency ecosystems.
2024
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Virtual teaching assistant for undergraduate students using natural language processing & deep learning
Sadman Jashim Sakib, Baktiar Kabir Joy, Zahin Rydha, Md. Nuruzzaman, Annajiat Alim Rasel
AIP Conference Proceedings, vol. 2898, no. 1, 030042 (Feb 2024)
DOI: 10.1063/5.0192090 · Publisher PDF (access may vary) · ResearchGateUndergraduate thesis: Developed a conversational AI teaching assistant (VTA-bot) using NLP and deep learning to support undergraduate learning.
Related Tools & Prototypes
- tooool — Open-source prototype transforming software engineering problems (dependency solving, configuration) into SAT/SMT constraints for efficient solving.
No new publications indexed in early 2026 yet — check Google Scholar for the latest citations (MSR paper has 1 citation so far). If you have upcoming/in-progress work (preprints, submissions), let me know to add!
I’m open to collaborations on dependency management, empirical SE studies, or LLM/SE intersections — reach out via LinkedIn, GitHub, or email.