mlsanityData to 14 Oct 2026

Assessing AI-Based Code Assistants in Method Generation Tasks

arXiv 2402.09022 ↗First posted 14 Feb 2024cs.SEcited by 5

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Feb 2024.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 1.

5 papers.