9 citations · 14 across the 10 of their papers we have counts for
4 papers · 1 filter
API-Miner: an API-to-API Specification Recommendation Engine
Sae Young Moon, Gregor Kerr, Fran Silavong +1
When designing a new API for a large project, developers need to make smart design choices so that their code base can grow sustainably. To ensure that new API components are well…
Topical: Learning Repository Embeddings from Source Code using Attention
Agathe Lherondelle, Varun Babbar, Yash Satsangi +3
This paper presents Topical, a novel deep neural network for repository level embeddings. Existing methods, reliant on natural language documentation or naive aggregation technique…
CV4Code: Sourcecode Understanding via Visual Code Representations
Ruibo Shi, Lili Tao, Rohan Saphal +2
We present CV4Code, a compact and effective computer vision method for sourcecode understanding. Our method leverages the contextual and the structural information available from t…
Senatus -- A Fast and Accurate Code-to-Code Recommendation Engine
Fran Silavong, Sean Moran, Antonios Georgiadis +2
Machine learning on source code (MLOnCode) is a popular research field that has been driven by the availability of large-scale code repositories and the development of powerful pro…