Towards a Change Taxonomy for Machine Learning Systems. - Aaditya Bhatia; Ellis E. Eghan; Manel Grichi; William G. Cavanagh; Zhen Ming Jiang; Bram Adams (CoRR, 2022)

A Study of Bug Management Using the Stack Exchange Question and Answering Platform. - Aaditya Bhatia; Shaowei Wang 002; Muhammad Asaduzzaman; Ahmed E. Hassan (IEEE Trans. Software Eng., 2022)

Generally Genius: A Generals.io Agent Development and Data Collection Framework. - Aaditya Bhatia; Austin L. Davis; Soumik Ghosh; Gita Sukthankar (AIIDE, 2023)

An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software. - Aaditya Bhatia; Foutse Khomh; Bram Adams; Ahmed E. Hassan (CoRR, 2023)

Towards a change taxonomy for machine learning pipelines. - Aaditya Bhatia; Ellis E. Eghan; Manel Grichi; William G. Cavanagh; Zhen Ming (Jack) Jiang; Bram Adams (Empir. Softw. Eng., 2023)

Using LLMs to Structure and Visualize Policy Discourse. - Aaditya Bhatia; Gita Sukthankar (AI4Research/DemocrAI@IJCAI, 2024)

Moderating Democratic Discourse with LLMs. - Aaditya Bhatia; Gita Sukthankar (SBP-BRiMS, 2024)

Data Quality Antipatterns for Software Analytics. - Aaditya Bhatia; Dayi Lin; Gopi Krishnan Rajbahadur; Bram Adams; Ahmed E. Hassan (CoRR, 2024)

SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation. - Aaditya Bhatia; Gustavo Ansaldi Oliva; Gopi Krishnan Rajbahadur; Haoxiang Zhang 001; Yihao Chen; Zhilong Chen; Arthur Leung; Dayi Lin; Boyuan Chen 002; Ahmed E. Hassan (CoRR, 2025)