Stefano Palma is a software engineering researcher with 10 years of experience focused on AI-driven software quality, currently advancing automatic refactoring and code remediation at Adyen. His PhD work produced practical tooling for defect prediction in Infrastructure-as-Code, bridging program analysis, machine learning, and industry collaboration in the RADON project. Previously he scaled developer training at Adyen Tech Academy, automating processes and mentoring engineers from support to full-time development roles. An active open-source contributor, he implemented file-level process metrics in the well-regarded PyDriller framework, emphasizing rigorous testing and rename/creation handling. He combines academic rigor with hands-on full-stack and DevOps experience, and holds top honors in both his bachelor’s and master’s degrees in Informatics and Software Security.
10 years of coding experience
7 years of employment as a software developer
Laurea triennale, Informatics, 110/110 e Lode, Laurea triennale, Informatics, 110/110 e Lode at Università degli Studi del Molise
Contributions:3 reviews, 71 commits, 23 PRs in 2 years 10 months
Contributions summary:Stefano primarily implemented process metrics for analyzing Git repositories. Their contributions involved adding and refining metrics such as commit count, distinct developer count, and code churn, all focused on analyzing file-level changes. These implementations included modifications to the `process_metrics.py` and corresponding test files, demonstrating a focus on functionality and testing. They addressed file renaming, creation handling, and integration with remote repositories.
A python library to compute a repository best engineering practices indicators
Contributions:18 releases, 43 commits, 1 PR in 1 year 10 months
mining-software-repositories
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Stefano Palma - Software Engineering Researcher at Adyen