In-IDE Code Generation from Natural Language: Promise and Challenges

Xu, Frank F., Vasilescu, Bogdan, Neubig, Graham·2022·ACM Transactions on Software Engineering and Methodology
DOI 10.1145/3487569

Cited by (106)

Items 101–106 of 106

  1. Automatic Document Sketching: Generating Drafts from Analogous Texts
    Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Bill Dolan · 2021 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  2. Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
    Di, Yifeng, Zhang, Tianyi · 2025 · arXiv
  3. Evolving Enactions of Expertise: Software Engineers’ Evaluation and Demonstration of Coding Expertise with AI Coding Assistants
    Yeonju Jang, Mose Sakashita, Koichiro Niinuma, Aakar Gupta · 2026 · CHI Conference on Human Factors in Computing Systems
  4. Understanding user mental models in AI-driven code completion tools: Insights from an elicitation study
    Desolda, Giuseppe, Esposito, Andrea, Greco, Francesco, Tucci, Cesare, Buono, Paolo, Piccinno, Antonio · 2025 · International Journal of Human-Computer Studies
  5. LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation
    Fakhoury, Sarah, Naik, Aaditya, Sakkas, Georgios, Chakraborty, Saikat, Lahiri, Shuvendu K. · 2024 · arXiv
  6. Do Users Write More Insecure Code with AI Assistants?
    Perry, Neil, Srivastava, Megha, Kumar, Deepak, Boneh, Dan · 2022 · arXiv