{"url":"/method/biman","slug":"biman","name":"BIMAN","full_name":"BIMAN","full_name_withheld":false,"description_markdown":"**BIMAN**, or **Bot Identification by commit Message, commit Association, and author Name**, is a technique to detect bots that commit code. It is comprised of three methods that consider independent aspects of the commits made by a particular author: 1) Commit Message: Identify if commit messages are being generated from templates; 2) Commit Association: Predict if an author is a bot using a random forest model, with features related to files and projects associated with the commits as predictors; and 3) Author Name: Match author’s name and email to common bot patterns.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Detecting and Characterizing Bots that Commit Code","paper":"/paper/detecting-and-characterizing-bots-that-commit","first_author":"Tapajit Dey","n_authors":7,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/detecting-and-characterizing-bots-that-commit"},"source":{"url":"https://arxiv.org/abs/2003.03172v3","title":"Detecting and Characterizing Bots that Commit Code","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Bot Detection","url":"/methods/category/bot-detection","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/detecting-and-characterizing-bots-that-commit","title":"Detecting and Characterizing Bots that Commit Code","date":"2020-03-02","arxiv_id":"2003.03172","n_code_links":2,"syntology":null}],"papers_shown":1,"tasks":[],"tasks_shown":0,"n_tasks":0,"usage_by_year":[{"year":"2020","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/biman"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}