Abstract: Code representation learning is an important way to encode the semantics of source code through pre-training. The learned representation supports ...

Abstract—Code representation learning is an important way to encode the semantics of source code through pre-training. The learned representation supports a ...

Abstract Code Embedding (AbCE), a self-supervised learning method that considers the abstract semantics of code logic, is proposed, which achieves ...

Sep 12, 2024 · The involvement of non-coding RNAs in biological processes and diseases has made the exploration of their functions crucial.

Feb 14, 2024 · This paper explores the integration of static analysis and additional context such as bug reports and design patterns into source code representations for deep ...

Jun 13, 2024 · A Novel Neural Source Code Representation Based on Abstract Syntax Tree. ... Automatically learning semantic features for defect prediction.

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We propose a code semantic enrichment approach for deep code search, named SemEnr. Specifically, we first enrich semantics for all code snippets in the ...

This paper uses the Abstract Syntax Tree-based Neural Network method and augment it with additional context information obtained from bug reports and design ...

We experi- mentally evaluate the proposed representation- level augmentation methods with state-of-the- art code search models on a large-scale pub- lic dataset ...