Results 11 to 20 of about 29,781 (199)
Using GitHub Copilot to Solve Simple Programming Problems
Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, 2023 The teaching and assessment of introductory programming involves writing code that solves a problem described by text. Previous research found that OpenAI's Codex, a natural language machine learning model trained on billions of lines of code, performs ...
M. Wermelinger
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Exploring the Impact of GitHub Copilot on Health Informatics Education. [PDF]
Appl Clin InformAbstract Background The use of artificial intelligence-driven code completion tools, particularly the integration of GitHub Copilot with Visual Studio, has potential implications for Health Informatics education, particularly for students learning SQL and Python.
Avramovic S, Avramovic I, Wojtusiak J.
europepmc +4 more sources
Experience with GitHub Copilot for Developer Productivity at Zoominfo
CoRR25 pages, 11 ...
Gal Bakal +4 more
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Vibe Coding in nephrology education: clinician-led, AI-assisted development of open-source interactive learning tools [PDF]
Renal FailureMedical education increasingly incorporates digital technologies; however, many tools remain passive and text-based. Vibe Coding is a clinician-led design framework that embeds expert reasoning and the cognitive ‘feel’ of clinical decision-making into ...
Francesco Pesce, Wisit Cheungpasitporn
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Choose your programming copilot
Proceedings of the Genetic and Evolutionary Computation Conference, 2022 GitHub Copilot, an extension for the Visual Studio Code development environment powered by the large-scale language model Codex, makes automatic program synthesis available for software developers. This model has been extensively studied in the field of deep learning, however, a comparison to genetic programming, which is also known for its performance
Dominik Sobania +2 more
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Investigating the Use of GitHub Copilot for Green Software
Progress in ISThis study empirically investigates the use of GitHub Copilot in developing energy-efficient software and the associated trade-offs. We compare the energy consumption and performance of human-written code to (i) the human-written code optimized by using GitHub Copilot, and (ii) code generated by GitHub Copilot. A set of 15 programming scenarios is used
Iffat Fatima +2 more
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Using GitHub Copilot for Test Generation in Python: An Empirical Study
Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024)Writing unit tests is a crucial task in software development, but it is also recognized as a time-consuming and tedious task. As such, numerous test generation approaches have been proposed and investigated.
Khalid El Haji +2 more
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Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT [PDF]
arXiv.org, 2023 Context: AI-assisted code generation tools have become increasingly prevalent in software engineering, offering the ability to generate code from natural language prompts or partial code inputs.
Burak Yetistiren +3 more
semanticscholar +1 more source
Don’t settle for the first! How many GitHub Copilot solutions should you check?
Information and Software TechnologyJil Klünder, Regina Hebig
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International Computing Education Research Workshop, 2023 Over the past year (2022–2023), recently-released AI tools such as ChatGPT and GitHub Copilot have gained significant attention from computing educators.
Sam Lau, Philip J. Guo
semanticscholar +1 more source