Authors: Rasmus Ulfsnes, Nils Brede Moe, Viktoria Stray, Marianne Skarpen

Published on: May 06, 2024

Impact Score: 7.4

Arxiv code: Arxiv:2405.01543

Summary

• What is new: The study identifies a paradigm shift in the workflow of software developers due to the adoption of GenAI tools like ChatGPT, showing unique insights into efficiency, learning, and collaboration.
• Why this is important: Understanding how Generative AI tools affect the productivity, learning, and collaboration among software developers.
• What the research proposes: Conducting an empirical study with qualitative interviews to assess the impact of GenAI tools like ChatGPT on software developers.
• Results: Findings suggest GenAI significantly enhances developers’ efficiency, accelerates the learning process, and alters teamwork dynamics by reducing reliance on human co-workers for problem-solving.

Technical Details

Technological frameworks used: Empirical study methodology using qualitative interviews

Models used: Analysis of Generative AI impacts specifically ChatGPT and Copilot

Data used: Insights from 13 data scientists, managers, developers, designers, and frontend developers

Potential Impact

Software development sectors, productivity tool markets, and companies developing or relying on traditional collaborative models for software engineering

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