From the 1 of 15 linked papers with an AI index.
13 papers · 1 filter
The Ground Is Shifting: A Reflection on the Foundations of Software Measurement
Thomas Bock, Audris Mockus, Bogdan Vasilescu
For most of the past six decades, software measurement relied on labor-intensive manual collection of proprietary data, which hampered progress. The shift to repurposing traces fro…
Deforking the World of Code: A Project-Provenance Map that Recovers Cross-Forge Fork Families that Platform Graphs Cannot See
Audris Mockus
The paper presents a curated deforking map for the World of Code that groups raw git repositories into their original projects using shared-commit relationships and clustering, imp…
Scaling Author Identity Disambiguation to the World of Code: A Methodology
Audris Mockus
We describe the methodology used to alias the free-text author/committer identities of the entire World of Code (WoC) collection (version V2604, ~107M distinct author strings over…
A Global Author-Identity Map for the World of Code:62.7M Developer Identities from 106.8M Author Strings over 5.87B Commits
Audris Mockus
Mining software repositories at global scale founders on author identity: the same developer commits under many name/email strings, and the same string is reused by many developers…
A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models
Yalin Liu, Kosay Jabre, Rui Abreu +10
Predictions by machine learning (ML) and artificial intelligence (AI) models are often received skeptically unless they are paired with intelligible explanations. In the context of…
Was It Never Collected, or Rewritten Away? A Commit-Provenance Dataset Separating Ingestion Gaps from Upstream History Edits across the World of Code
Audris Mockus
Any global mirror of open-source version control is incomplete, but the reasons a commit is missing are not interchangeable: a project may have force-pushed it away (so it no longe…