To implement a program functionality, developers can reuse previously written code snippets by searching through a large-scale codebase.
May 27, 2018 · To our knowledge, we are the first to propose deep learning based code search. The main contributions of our work are as follows: • We propose a ...
To implement a program functionality, developers can reuse previously written code snippets by searching through a large-scale codebase.
Code for the ICSE 2018 paper Deep Code Search. Two Versions. We release both Keras and PyTorch code of our approach, in the keras and pytorch folders, ...
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What Is Semantic Scholar? Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.
To implement a program functionality, developers can reuse previously written code snippets by searching through a large-scale codebase.
The goal of **Code Search** is to retrieve code fragments from a large code corpus that most closely match a developer's intent, which is expressed in ...
Aug 18, 2024 · To overcome this challenge, we propose a naming-agnostic code search method (NACS) based on contrastive multi-view code representation learning.
Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application.
This paper introduces a code semantic enrichment approach named SemEnr for deep code search. Specifically, SemEnr is comprised of two modules: a code enrichment ...