Results 81 to 90 of about 48,273 (169)
This study conducted a PRISMA-based systematic literature review of 52 primary studies published between 2022 and 2024 indexed in Scopus, Web of Science, and Springer.
Jose Valdivia +2 more
doaj +1 more source
GitHub Copilot -tekoälymoduulin käyttö ohjelmoinnin tukena
Tässä tutkielmassa analysoin GitHub Copilotin hyötyjä, potentiaalia ja riskejä. GitHub Copilot on tekoälypohjainen ohjelmointiavustin, jonka suosio ja käyttömäärät ovat voimakkaassa kasvussa.
Nieminen, Heta
core
Experience with GitHub Copilot for Developer Productivity at Zoominfo
This paper presents a comprehensive evaluation of GitHub Copilot\u27s deployment and impact on developer productivity at Zoominfo, a leading Go-To-Market (GTM) Intelligence Platform.
Levin, Guy +4 more
core +2 more sources
Using AI in software development: GitHub copilot system
Zhukova N.M. Using AI in software development: GitHub copilot system / N.M. Zhukova, D. Dedov // Тиждень науки-2023. Електротехнічний факультет. Тези доповідей науково-технічної конференції, Запоріжжя, 24-28 квітня 2023 р. / Редкол. : В. Шаломєєв (відпов.
Dedov, Danilo, Zhukova, Natalia M.
core +1 more source
The purpose of the study. The paper discusses the current issues of checking the volume of borrowed text in the graduation qualification paper in a technical university taking into account the probability of using the capabilities of artificial ...
L. A. Zinchenko +2 more
doaj +1 more source
In software development there is a constant pressure to produce code faster and faster without compromising on quality. New tools supporting developers are created in response to this demand.
Jaworski, Mateusz, Piotrkowski, Dariusz
core
Este estudio evalúa el impacto de la integración de herramientas de inteligencia artificial (IA) en el curso Fenómenos de Transferencia de la carrera de Ingeniería Química, enfocándose en el desarrollo y la optimización de flujos de trabajo mediante IA ...
Leonardo Garro Mena
doaj +1 more source
GitHub Copilot: the perfect Code compLeeter? [PDF]
This paper aims to evaluate GitHub Copilot's generated code quality based on the LeetCode problem set using a custom automated framework. We evaluate the results of Copilot for 4 programming languages: Java, C++, Python3 and Rust.
Preneel, Bart +2 more
core +1 more source
INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO THE SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC)
У статті досліджено трансформацію життєвого циклу розробки програмного забезпечення (SDLC) під впливом інтеграції інструментів генеративного штучного інтелекту.
Іван Опірський +1 more
doaj +1 more source
Learning to Code with GitHub Copilot: A Resource for New Student Developers [PDF]
This resource provides a step-by-step guide for new student developers on using GitHub Copilot. It covers the process of signing up for GitHub\u27s Educaon program, integrang Copilot into two popular integrated development environments (IDEs), and using ...
Zelikovitz, Sarah
core +1 more source

