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ChatGPT as a Software Development Bot: A Project-Based Study

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  • Muhammad Waseem
  • Teerath Das
  • Aakash Ahmad
  • Peng Liang
  • Mahdi Fahmideh
  • Tommi Mikkonen
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Publication date29/04/2024
Host publicationProceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024
EditorsHermann Kaindl, Mike Mannion, Leszek Maciaszek
PublisherSciTePress
Pages406-413
Number of pages8
ISBN (electronic)9789897586965
<mark>Original language</mark>English
Event19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024 - Angers, France
Duration: 28/04/202429/04/2024

Conference

Conference19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024
Country/TerritoryFrance
CityAngers
Period28/04/2429/04/24

Publication series

NameInternational Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings
ISSN (electronic)2184-4895

Conference

Conference19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024
Country/TerritoryFrance
CityAngers
Period28/04/2429/04/24

Abstract

Artificial Intelligence has demonstrated its significance in software engineering through notable improvements in productivity, accuracy, collaboration, and learning outcomes. This study examines the impact of generative AI tools, specifically ChatGPT, on the software development experiences of undergraduate students. Over a three-month project with seven students, ChatGPT was used as a support tool. The research focused on assessing ChatGPT’s effectiveness, benefits, limitations, and its influence on learning. Results showed that ChatGPT significantly addresses skill gaps in software development education, enhancing efficiency, accuracy, and collaboration. It also improved participants’ fundamental understanding and soft skills. The study highlights the importance of incorporating AI tools like ChatGPT in education to bridge skill gaps and increase productivity, but stresses the need for a balanced approach to technology use. Future research should focus on optimizing ChatGPT’s application in various development contexts to maximize learning and address specific challenges.

Bibliographic note

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