Enhancing source code retrieval with joint Bi-LSTM-GNN architecture: A comparative study with ChatGPT-LLM-Reference-Cited by-同舟云学术

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Enhancing source code retrieval with joint Bi-LSTM-GNN architecture: A comparative study with ChatGPT-LLM

Published:2023-12 Issue: Volume: Page:101865
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Bibi Nazia^ORCID,Maqbool Ayesha^ORCID,Rana Tauseef

Publisher

Elsevier BV

Subject

General Computer Science

Reference67 articles.

1. ChatGPT: Future directions and open possibilities;Aljanabi;Mesop. J. CyberSecur.,2023

2. Bi-LSTM-based neural source code summarization;Aljumah;Appl. Sci.,2022

3. Mining source code repositories at massive scale using language modeling;Allamanis,2013

4. Source code generation-based on NLP and ontology;Alokla;Int. J. Intell. Comput. Inf. Sci.,2022

5. A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity;Bang,2023

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