A potentially out-of-date publication list (Google Scholar and dblp are your friends). Clicking the title of any publication should lead to an author copy of the publication. If not, feel free to contact me for a copy.
Pârțachi, P.-P., & Sugiyama, M., Bringing Structure to Naturalness: On the Naturalness of ASTs., In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE ’24): Companion Proceedings. ACM, April 2024. Bib; DOI; PDF
Pârțachi, P.-P., White, D. R., & Barr, E. T., Aide-mémoire: Improving a Project’s Collective Memory via Pull Request–Issue Links. In ACM Transactions on Software Engineering and Methodology, ACM, May 2022. GitHub Link; Bib; DOI; PDF
Pârțachi, P.-P., Treude, C., Dash, S. K., & Barr, E. T., POSIT: Simultaneously Tagging Natural and Programming Languages. In 42nd International Conference on Software Engineering (ICSE ’20). Seoul, Republic of Korea: ACM, May 2020. Project Page; Bib; DOI; PDF
Pârțachi, P.-P., Dash, S. K., Allamanis, M., & Barr, E. T., Flexeme: Untangling Commits Using Lexical Flows. In 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, (ESEC/FSE 2020). Sacramento, California, United States; ACM, November 2020 Project Page; Bib; DOI; PDF
Pârțachi, Profir-Petru; (2020) Improving Software Project Health Using Machine Learning. Doctoral thesis (Ph.D), UCL (University College London). UCL Discovery; LaTeX Repo; Bib; URI; PDF