ChatGPT as a Software Development Bot: A Project-based Study
Project Overview
The document explores the integration of generative AI, particularly ChatGPT, in software engineering education, detailing a study that assessed its impact on undergraduate students' software development projects. The findings reveal that the use of ChatGPT significantly enhanced productivity, accuracy, collaboration, and overall learning outcomes, while also helping to bridge skill gaps in the curriculum. Students reported improvements in their understanding of concepts and the development of important soft skills. However, the study also highlighted challenges in effectively integrating AI tools into educational settings, suggesting that a balanced approach is necessary to maximize their benefits while addressing potential obstacles. Overall, the document underscores the transformative potential of generative AI in enhancing educational experiences and outcomes in software engineering.
Key Applications
ChatGPT as a software development bot
Context: Undergraduate software development projects
Implementation: ChatGPT was used as a support tool throughout the software development process, from requirements gathering to deployment.
Outcomes: Improved efficiency, accuracy, collaboration, and understanding of software development concepts among students.
Challenges: Concerns about over-reliance on AI, quality of AI-generated outputs, and integration difficulties.
Implementation Barriers
Integration Challenges
Difficulties in effectively integrating ChatGPT into the software development process.
Proposed Solutions: Future research should focus on optimizing ChatGPT's application in various development contexts.
Skill Gaps
Students exhibited significant skill gaps in software development, particularly in deployment and release management stages.
Proposed Solutions: Incorporate AI tools like ChatGPT to bridge these skill gaps and enhance learning outcomes.
Project Team
Muhammad Waseem
Researcher
Teerath Das
Researcher
Aakash Ahmad
Researcher
Peng Liang
Researcher
Mahdi Fehmideh
Researcher
Tommi Mikkonen
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Muhammad Waseem, Teerath Das, Aakash Ahmad, Peng Liang, Mahdi Fehmideh, Tommi Mikkonen
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai