Results 91 to 100 of about 48,273 (169)

Program Code Generation with Generative AIs

Algorithms
Our paper compares the correctness, efficiency, and maintainability of human-generated and AI-generated program code. For that, we analyzed the computational resources of AI- and human-generated program code using metrics such as time and space ...
Baskhad Idrisov, Tim Schlippe
doaj   +1 more source

Generative AI in Engineering and Computing Education: A Scoping Review of Empirical Studies and Educational Practices

IEEE Access
Since the release of diverse generative AI (GenAI) tools such as ChatGPT, Google Gemini, DALL $\cdot $ E, and GitHub Copilot, there has been much debate around the impacts and implications of these tools on education. Currently, extant literature remarks
Jonathan Alvarez Ariza, Milena Benitez Restrepo, Carola Hernandez Hernandez   +2 more
doaj   +1 more source

Математичний базис задач формування адаптивних алгоритмів для машинного навчання чат-ботів

Міжнародний науково-технічний журнал "Проблеми керування та інформатики"
Сучасні інформаційні системи функціонують у середовищі, що характеризується невизначеністю параметрів, неповнотою даних та постійними змінами зовнішніх умов.
Ольга Олександрівна Кряжич , Іван Андрійович Іванов , Катерина Сергіївна Ющенко   +2 more
doaj   +1 more source

ТЕСТУВАННЯ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ В ЕПОХУ ЦИФРОВОЇ ТРАНСФОРМАЦІЇ: МОЖЛИВОСТІ, ВИКЛИКИ ТА ЕТИЧНІ ВИМІРИ

Системи обробки інформації
Предметом цього дослідження є інтеграція технологій штучного інтелекту (ШІ) у процеси тестування програмного забезпечення в контексті глобальних тенденцій цифрової трансформації.
А.В. Бойчук, А.Д. Оскорбін   +1 more
doaj   +1 more source

Technology acceptance of GitHub Copilot: A study among computing students

AI pair programmers (AIPPs) are becoming increasingly used in software development environments. This is encouraging universities to examine the role of these tools in computing education and programming courses to ensure that their programs remain ...
Nian Aziz
core   +1 more source

AI Code Assistants in Programming Education: A Narrative Literature Review

Education Sciences
Prior research suggests that programming is a fundamental competency for all students. Due to its importance, programming education is integrated across many disciplines beyond computer science (e.g., humanities, social sciences, and engineering).
Umer Farooq, Dianna Morganti, Saira Anwar   +2 more
doaj   +1 more source

Measuring the Runtime Performance of C++ Code Written by Humans using GitHub Copilot [PDF]

GitHub Copilot is an artificially intelligent programming assistant used by many developers. While a few studies have evaluated the security risks of using Copilot, there has not been any study to show if it aids developers in producing code with better ...
Udayashankar, Sreeharsha, Nagappan, Meiyappan, Al-Kiswany, Samer, Erhabor, Daniel   +3 more
core   +1 more source

Unit Test Generation with GitHub Copilot : A Case Study [PDF]

Artificial intelligence has taken remarkable steps in recent years. Natural language processing technology and large language models have changed many aspects of software development process.
Humalajoki, Sami
core  

GitHub Copilot in Computing Education: A Field Study Dataset

Description This dataset was generated from a field study conducted to evaluate the integration of the AI pair programmer, GitHub Copilot, into project-based computer science and software engineering curriculums.
Aziz, Nian
core   +1 more source

The Impact of AI Tool on Engineering at ANZ Bank An Empirical Study on GitHub Copilot within Corporate Environment [PDF]

The increasing popularity of AI, particularly Large Language Models (LLMs), has significantly impacted various domains, including Software Engineering.
Chatterjee, Sayan, Rowland, Gareth, Hogarth, Tim, Liu, Ching Louis   +3 more
core   +1 more source