Results 11 to 20 of about 250,329 (273)

Enriching query semantics for code search with reinforcement learning

open access: yesNeural Networks, 2022
Code search is a common practice for developers during software implementation. The challenges of accurate code search mainly lie in the knowledge gap between source code and natural language (i.e., queries). Due to the limited code-query pairs and large code-description pairs available, the prior studies based on deep learning techniques focus on ...
Wang, Chaozheng   +6 more
openaire   +5 more sources

GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search

open access: yesIEEE Transactions on Software Engineering, 2023
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 such as (on GitHub or Stack Overflow), identifying and localizing the precise code is critical for the software developers.
Shangqing Liu   +5 more
openaire   +6 more sources

Bag-of-Words Baselines for Semantic Code Search [PDF]

open access: yesProceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021), 2021
The task of semantic code search is to retrieve code snippets from a source code corpus based on an information need expressed in natural language. The semantic gap between natural language and programming languages has for long been regarded as one of the most significant obstacles to the effectiveness of keyword-based information retrieval (IR ...
Zhang, X., Xin, J., Yates, A., Lin, J.
openaire   +2 more sources

Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
An abundance of biomedical data is generated in the form of clinical notes, reports, and research articles available online. This data holds valuable information that requires extraction, retrieval, and transformation into actionable knowledge.
Asim Abbas   +4 more
doaj   +1 more source

Context-aware Based API Personalized Recommendation [PDF]

open access: yesJisuanji kexue, 2021
In the process of software development,developers often search for appropriate APIs to complete programming tasks when encountering programming difficulties.Contextual information and developer portraits play a critical role in effective API ...
CHEN Chen, ZHOU Yu, WANG Yong-chao, HUANG Zhi-qiu
doaj   +1 more source

Unleashing the power of pseudo-code for binary code similarity analysis

open access: yesCybersecurity, 2022
Code similarity analysis has become more popular due to its significant applicantions, including vulnerability detection, malware detection, and patch analysis. Since the source code of the software is difficult to obtain under most circumstances, binary-
Weiwei Zhang   +3 more
doaj   +1 more source

Knowledge Distillation-Based Multilingual Code Retrieval

open access: yesAlgorithms, 2022
Semantic code retrieval is the task of retrieving relevant codes based on natural language queries. Although it is related to other information retrieval tasks, it needs to bridge the gaps between the language used in the code (which is usually syntax ...
Wen Li, Junfei Xu, Qi Chen
doaj   +1 more source

SEARCH OF CLONES IN PROGRAM CODE [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2020
Subject of Research. The paper presents research of existing approaches and methods for the search of clones in the program code. As a result of the study, a method is developed that implements a semantic approach for the search of duplicated fragments ...
Alisa O. Osadchaya, Ilia V. Isaev
doaj   +1 more source

NS3: Neuro-Symbolic Semantic Code Search

open access: yes, 2022
Semantic code search is the task of retrieving a code snippet given a textual description of its functionality. Recent work has been focused on using similarity metrics between neural embeddings of text and code. However, current language models are known to struggle with longer, compositional text, and multi-step reasoning. To overcome this limitation,
Arakelyan, Shushan   +5 more
openaire   +2 more sources

CSSAM: Code Search via Attention Matching of Code Semantics and Structures

open access: yes2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023
arXiv admin note: text overlap with arXiv:1909.13516 by other ...
Hu, Yi, Cai, Bo, Yu, Yaoxiang
openaire   +2 more sources

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