Opportunities and challenges in code search tools
Code search is a core software engineering task. Effective code search tools can help
developers substantially improve their software development efficiency and effectiveness. In …
developers substantially improve their software development efficiency and effectiveness. In …
A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
A systematic mapping study of source code representation for deep learning in software engineering
The usage of deep learning (DL) approaches for software engineering has attracted much
attention, particularly in source code modelling and analysis. However, in order to use DL …
attention, particularly in source code modelling and analysis. However, in order to use DL …
On the importance of building high-quality training datasets for neural code search
The performance of neural code search is significantly influenced by the quality of the
training data from which the neural models are derived. A large corpus of high-quality query …
training data from which the neural models are derived. A large corpus of high-quality query …
Learning program semantics with code representations: An empirical study
Program semantics learning is the core and fundamental for various code intelligent tasks
eg, vulnerability detection, clone detection. A considerable amount of existing works …
eg, vulnerability detection, clone detection. A considerable amount of existing works …
[PDF][PDF] Unifying the perspectives of nlp and software engineering: A survey on language models for code
Z Zhang, C Chen, B Liu, C Liao, Z Gong… - arXiv preprint arXiv …, 2023 - simg.baai.ac.cn
In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …
Graphsearchnet: Enhancing gnns via capturing global dependencies for semantic code search
Code search aims to retrieve accurate code snippets based on a natural language query to
improve software productivity and quality. With the massive amount of available programs …
improve software productivity and quality. With the massive amount of available programs …
Code search based on context-aware code translation
Code search is a widely used technique by developers during software development. It
provides semantically similar implementations from a large code corpus to developers …
provides semantically similar implementations from a large code corpus to developers …
Multimodal representation for neural code search
J Gu, Z Chen, M Monperrus - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Semantic code search is about finding semantically relevant code snippets for a given
natural language query. In the state-of-the-art approaches, the semantic similarity between …
natural language query. In the state-of-the-art approaches, the semantic similarity between …
Two-stage attention-based model for code search with textual and structural features
Searching and reusing existing code from a large scale codebase can largely improve
developers' programming efficiency. To support code reuse, early code search models …
developers' programming efficiency. To support code reuse, early code search models …