saltudelft/ml4se
A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
This is a curated collection of research papers, PhD theses, datasets, and tools focused on applying machine learning to various challenges in software engineering. It helps software engineering researchers and practitioners find state-of-the-art approaches and resources for tasks like code completion, bug detection, and program repair. You'll find categorized lists of academic work and practical tools to deepen your understanding and improve your software development processes.
730 stars.
Use this if you are a software engineering researcher or practitioner looking for an organized overview of the latest advancements and resources in applying machine learning to software development.
Not ideal if you are looking for a plug-and-play machine learning library for general-purpose software development without an interest in the underlying research or academic context.
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Last pushed
Nov 06, 2025
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