Results 31 to 40 of about 29,781 (199)
Освітній вимірThis paper examines the problem of automated testing of modified programming tasks for future computer science teachers. It is recommended that GitHub Copilot be used to generate tests based on the code.
Oleksandr M. Spazhev, Oksana V. Klochko
doaj +1 more source
The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot [PDF]
International Conference on Interaction SciencesLarge Language Models (LLMs) are reshaping knowledge work, yet their impact on voluntary, self-guided open innovation forums (contributors choose tasks without managerial direction) may differ fundamentally from effects observed in organizational ...
Doron Yeverechyahu +2 more
semanticscholar +1 more source
EdusaintekThis Study aims to analyze and compare four unit test automation frameworks, namely EvoSuite, Randoop, Squaretest, and Github Copilot, using the Distance to Ideal Alternative(DIA) method.
Rifaldi Fakhrii, Novi Setiani
doaj +1 more source
Exploring generative artificial intelligence: a comprehensive guide [PDF]
PeerJ Computer ScienceGenerative artificial intelligence (GAI), a specialized branch of artificial intelligence, has developed as a dynamic discipline that drives innovation and creativity across several domains.
Rasha Shoitan +4 more
doaj +2 more sources
Students' Use of GitHub Copilot for Working with Large Code Bases
Technical Symposium on Computer Science EducationLarge language models (LLMs) are already heavily used by professional software engineers. An important skill for new university graduates to possess will be the ability to use such LLMs to effectively navigate and modify a large code base.
Anshul Shah +5 more
semanticscholar +1 more source
Informática y SistemasEste artículo presenta un estudio comparativo de herramientas de inteligencia artificial (IA) para el desarrollo web, enfocándose en Angular y Node.js. Se analizaron ChatGPT, Gemini, GitHub Copilot y DeepSeek, evaluando su capacidad para generar código ...
Dustin Adrian Cabrera Lavayen +3 more
doaj +1 more source
Applied Sciences, 2023 As artificial intelligence advances, source code completion assistants are becoming more advanced and powerful. Existing traditional assistants are no longer up to all the developers’ challenges.
Tilen Hliš +3 more
doaj +1 more source
Systemic Lipid Peroxidation and Colorectal Cancer Risk: A Time‐Varying Relationship
International Journal of Cancer, EarlyView.Experimental studies in animals suggest that oxidative stress (OxS) declines as cancer progresses. Whether this occurs in humans, however, remains unclear. The authors of the present study addressed this question by analyzing lipid, DNA, and RNA oxidation biomarkers in relation to colorectal cancer (CRC) risk in patients from Shanghai and the United ...
Gong Yang +8 more
wiley +1 more source
Deep blueprint: A literature review and guide to automated image classification for ecologists
Journal of Animal Ecology, EarlyView.A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game +2 more
wiley +1 more source
An assessment of large language models for OpenMP-based code parallelization: a user perspective
Journal of Big DataLarge language models have sparked a lot of attention in the research community in recent days, especially with the introduction of practical tools such as ChatGPT and Github Copilot.
Marko Mišić, Matija Dodović
doaj +1 more source