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Assessing AI-Based Code Assistants in Method Generation Tasks
February 14, 2024 Β· Declared Dead Β· π 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
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Authors
Vincenzo Corso, Leonardo Mariani, Daniela Micucci, Oliviero Riganelli
arXiv ID
2402.09022
Category
cs.SE: Software Engineering
Citations
13
Venue
2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
Last Checked
3 months ago
Abstract
AI-based code assistants are increasingly popular as a means to enhance productivity and improve code quality. This study compares four AI-based code assistants, GitHub Copilot, Tabnine, ChatGPT, and Google Bard, in method generation tasks, assessing their ability to produce accurate, correct, and efficient code. Results show that code assistants are useful, with complementary capabilities, although they rarely generate ready-to-use correct code.
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