Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps
D Lo - arXiv preprint arXiv:2309.04142, 2023 - arxiv.org
For decades, much software engineering research has been dedicated to devising
automated solutions aimed at enhancing developer productivity and elevating software …
automated solutions aimed at enhancing developer productivity and elevating software …
Practices and challenges of using github copilot: An empirical study
With the advances in Machine Learning, there is a growing interest in AI-enabled tools for
autocompleting source code. GitHub Copilot, also referred to as the" AI Pair Programmer" …
autocompleting source code. GitHub Copilot, also referred to as the" AI Pair Programmer" …
Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network
Automatically transforming developers' natural language descriptions into source code has
been a longstanding goal in software engineering research. Two types of approaches have …
been a longstanding goal in software engineering research. Two types of approaches have …
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases
Large Language Models (LLMs) have demonstrated remarkable performance in code
completion. However, due to the lack of domain-specific knowledge, they may not be optimal …
completion. However, due to the lack of domain-specific knowledge, they may not be optimal …
Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot
With the advances in machine learning, there is a growing interest in AI-enabled tools for
autocompleting source code. GitHub Copilot has been trained on billions of lines of open …
autocompleting source code. GitHub Copilot has been trained on billions of lines of open …
On the Concerns of Developers When Using GitHub Copilot
With the recent advancement of Artificial Intelligence (AI) and the emergence of Large
Language Models (LLMs), AI-based code generation tools have achieved significant …
Language Models (LLMs), AI-based code generation tools have achieved significant …
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGA
Transformer-based Large Language Models (LLMs) have made a significant impact on
various domains. However, LLMs' efficiency suffers from both heavy computation and …
various domains. However, LLMs' efficiency suffers from both heavy computation and …
STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis
Repository-level code completion is challenging as it involves complicated contexts from
multiple files in the repository. To date, researchers have proposed two technical categories …
multiple files in the repository. To date, researchers have proposed two technical categories …
Full Line Code Completion: Bringing AI to Desktop
A Semenkin, V Bibaev, Y Sokolov, K Krylov… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, several industrial solutions for the problem of multi-token code completion
have appeared, each making a great advance in the area but mostly focusing on cloud …
have appeared, each making a great advance in the area but mostly focusing on cloud …