Human AI Collaboration in Software Engineering: Lessons Learned from a Hands On Workshop

This paper investigates the dynamics of human AI collaboration in software engineering, focusing on the use of ChatGPT. Through a thematic analysis of a hands on workshop in which 22 professional software engineers collaborated for three hours with ChatGPT, we explore the transition of AI from a mer...

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Bibliographic Details
Published inarXiv.org
Main Authors Hamza, Muhammad, Siemon, Dominik, Muhammad Azeem Akbar, Rahman, Tahsinur
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 17.12.2023
Subjects
Artificial intelligence
Chatbots
Collaboration
Cooperation
Software engineering
Workshops
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Summary:This paper investigates the dynamics of human AI collaboration in software engineering, focusing on the use of ChatGPT. Through a thematic analysis of a hands on workshop in which 22 professional software engineers collaborated for three hours with ChatGPT, we explore the transition of AI from a mere tool to a collaborative partner. The study identifies key themes such as the evolving nature of human AI interaction, the capabilities of AI in software engineering tasks, and the challenges and limitations of integrating AI in this domain. The findings show that while AI, particularly ChatGPT, improves the efficiency of code generation and optimization, human oversight remains crucial, especially in areas requiring complex problem solving and security considerations. This research contributes to the theoretical understanding of human AI collaboration in software engineering and provides practical insights for effectively integrating AI tools into development processes. It highlights the need for clear role allocation, effective communication, and balanced AI human collaboration to realize the full potential of AI in software engineering.
ISSN:2331-8422