Standard
ChatGPT as a Software Development Bot: A Project-Based Study. / Waseem, Muhammad; Das, Teerath
; Ahmad, Aakash et al.
Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024. ed. / Hermann Kaindl; Mike Mannion; Leszek Maciaszek. SciTePress, 2024. p. 406-413 (International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Waseem, M, Das, T
, Ahmad, A, Liang, P, Fahmideh, M & Mikkonen, T 2024,
ChatGPT as a Software Development Bot: A Project-Based Study. in H Kaindl, M Mannion & L Maciaszek (eds),
Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024. International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings, SciTePress, pp. 406-413, 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024, Angers, France,
28/04/24.
https://doi.org/10.5220/0012631600003687APA
Waseem, M., Das, T.
, Ahmad, A., Liang, P., Fahmideh, M., & Mikkonen, T. (2024).
ChatGPT as a Software Development Bot: A Project-Based Study. In H. Kaindl, M. Mannion, & L. Maciaszek (Eds.),
Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024 (pp. 406-413). (International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings). SciTePress.
https://doi.org/10.5220/0012631600003687Vancouver
Waseem M, Das T
, Ahmad A, Liang P, Fahmideh M, Mikkonen T.
ChatGPT as a Software Development Bot: A Project-Based Study. In Kaindl H, Mannion M, Maciaszek L, editors, Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024. SciTePress. 2024. p. 406-413. (International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings). doi: 10.5220/0012631600003687
Author
Waseem, Muhammad ; Das, Teerath
; Ahmad, Aakash et al. /
ChatGPT as a Software Development Bot : A Project-Based Study. Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024. editor / Hermann Kaindl ; Mike Mannion ; Leszek Maciaszek. SciTePress, 2024. pp. 406-413 (International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings).
Bibtex
@inproceedings{040a67ddd0de43809f34d16aac14fc63,
title = "ChatGPT as a Software Development Bot: A Project-Based Study",
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{\textquoteright}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{\textquoteright} 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{\textquoteright}s application in various development contexts to maximize learning and address specific challenges.",
keywords = "AI for SE, Automated Software Engineering, ChatGPT, Empirical SE, Learning Impact",
author = "Muhammad Waseem and Teerath Das and Aakash Ahmad and Peng Liang and Mahdi Fahmideh and Tommi Mikkonen",
note = "Publisher Copyright: {\textcopyright} 2024 by SCITEPRESS – Science and Technology Publications, Lda.; 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024 ; Conference date: 28-04-2024 Through 29-04-2024",
year = "2024",
month = apr,
day = "29",
doi = "10.5220/0012631600003687",
language = "English",
series = "International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings",
publisher = "SciTePress",
pages = "406--413",
editor = "Hermann Kaindl and Mike Mannion and Leszek Maciaszek",
booktitle = "Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024",
}
RIS
TY - GEN
T1 - ChatGPT as a Software Development Bot
T2 - 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024
AU - Waseem, Muhammad
AU - Das, Teerath
AU - Ahmad, Aakash
AU - Liang, Peng
AU - Fahmideh, Mahdi
AU - Mikkonen, Tommi
N1 - Publisher Copyright:
© 2024 by SCITEPRESS – Science and Technology Publications, Lda.
PY - 2024/4/29
Y1 - 2024/4/29
N2 - 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.
AB - 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.
KW - AI for SE
KW - Automated Software Engineering
KW - ChatGPT
KW - Empirical SE
KW - Learning Impact
U2 - 10.5220/0012631600003687
DO - 10.5220/0012631600003687
M3 - Conference contribution/Paper
AN - SCOPUS:85193992243
T3 - International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings
SP - 406
EP - 413
BT - Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2024
A2 - Kaindl, Hermann
A2 - Mannion, Mike
A2 - Maciaszek, Leszek
PB - SciTePress
Y2 - 28 April 2024 through 29 April 2024
ER -
