A Taxonomy of Machine Learning Fairness Tool Specifications, Features and Workflows. - Sadia Afrin Mim; Justin Smith 001; Brittany Johnson (VL/HCC, 2023)

Py-holmes: Causal Testing for Deep Neural Networks in Python. - Wren McQueary; Sadia Afrin Mim; Md. Nishat Raihan; Justin Smith 001; Brittany Johnson (SIGSOFT FSE Companion, 2024)

What Makes a Fairness Tool Project Sustainable in Open Source? - Sadia Afrin Mim; Fatemeh Vares; Andrew Meenly; Brittany Johnson (CoRR, 2025)

Exploring Fairness Interventions in Open Source Projects. - Sadia Afrin Mim; Fatema Tuz Zohra; Justin Smith 001; Brittany Johnson (CoRR, 2025)

Exploring the Landscape of Fairness Interventions in Software Engineering. - Sadia Afrin Mim (CoRR, 2025)

Classifying Issues in Open-source GitHub Repositories. - Amir Hossain Raaj; Fairuz Nawer Meem; Sadia Afrin Mim (CoRR, 2025)