Results 21 to 30 of about 29,781 (199)

GitHub Copilot AI pair programmer: Asset or Liability? [PDF]

open access: yesJournal of Systems and Software, 2022
Automatic program synthesis is a long-lasting dream in software engineering. Recently, a promising Deep Learning (DL) based solution, called Copilot, has been proposed by OpenAI and Microsoft as an industrial product.
Arghavan Moradi Dakhel   +5 more
semanticscholar   +1 more source

Exploring the Verifiability of Code Generated by GitHub Copilot

open access: yesCoRR, 2022
HATRA workshop at SPLASH ...
Dakota Wong   +2 more
openaire   +2 more sources

Is GitHub’s Copilot as bad as humans at introducing vulnerabilities in code?

open access: yesEmpirical Software Engineering, 2023
Several advances in deep learning have been successfully applied to the software development process. Of recent interest is the use of neural language models to build tools, such as Copilot, that assist in writing code. In this paper we perform a comparative empirical analysis of Copilot-generated code from a security perspective. The aim of this study
Owura Asare   +2 more
openaire   +2 more sources

Learning Web Development using GitHub Copilot in and outside Academia: a Blessing or a Curse? [PDF]

open access: yesInterdisciplinary Description of Complex Systems
This article investigates the usage of GitHub Copilot, an artificial intelligence-powered coding assistant owned by Microsoft and GitHub, in the process of learning and teaching web development both in formal academic, and informal settings. We dive into
Gabriel Oliver Mesaroš
doaj   +1 more source

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

open access: yesEntropy, 2023
This paper provides a comprehensive review of the literature concerning the utilization of Natural Language Processing (NLP) techniques, with a particular focus on transformer-based large language models (LLMs) trained using Big Code, within the domain ...
Man-Fai Wong   +4 more
doaj   +1 more source

The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Coding Tasks [PDF]

open access: yesInternational Computing Education Research Workshop
When graduates of computing degree programs enter the software industry, they will most likely join teams working on legacy code bases developed by people other than themselves.
M. Shihab   +5 more
semanticscholar   +1 more source

How Readable is Model-generated Code? Examining Readability and Visual Inspection of GitHub Copilot [PDF]

open access: yesInternational Conference on Automated Software Engineering, 2022
Background: Recent advancements in large language models have motivated the practical use of such models in code generation and program synthesis. However, little is known about the effects of such tools on code readability and visual attention in ...
Naser Al Madi
semanticscholar   +1 more source

Analysis of the Code Quality of Code Automatic Generation Tool Github Copilot [PDF]

open access: yesJisuanji kexue
Github Copilot is a generative AI-based code auto-generation tool launched by Github and OpenAI in 2022.One of its core functions is to generate corresponding implementation code based on natural language annotations describing functions.This expansion ...
WANG Dongyu, MO Ran, ZHAN Wenjing, JIANG Yingjie
doaj   +1 more source

Developer Productivity With and Without GitHub Copilot: A Longitudinal Mixed-Methods Case Study [PDF]

open access: yesProceedings of the Annual Hawaii International Conference on System Sciences
This study investigates the real-world impact of the generative AI (GenAI) tool GitHub Copilot on developer activity and perceived productivity. We conducted a mixed-methods case study in NAV IT, a large public sector agile organization.
V. Stray   +4 more
semanticscholar   +1 more source

Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot [PDF]

open access: yesInternational Journal of Software Engineering and Knowledge Engineering, 2023
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”, has been trained on billions of lines of open source GitHub code, and is one of such tools that has been increasingly used since its launch in June 2021.
Zhang, Beiqi   +5 more
openaire   +3 more sources

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