• Jiang S and Coblenz M. (2024). An Analysis of the Costs and Benefits of Autocomplete in IDEs. Proceedings of the ACM on Software Engineering. 1:FSE. (1284-1306). Online publication date: 12-Jul-2024.

    https://doi.org/10.1145/3660765

  • Murali V, Maddila C, Ahmad I, Bolin M, Cheng D, Ghorbani N, Fernandez R, Nagappan N and Rigby P. (2024). AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation. Proceedings of the ACM on Software Engineering. 1:FSE. (1066-1085). Online publication date: 12-Jul-2024.

    https://doi.org/10.1145/3643774

  • Dunay O, Cheng D, Tait A, Thakkar P, Rigby P, Chiu A, Ahmad I, Ganesan A, Maddila C, Murali V, Tayyebi A and Nagappan N. Multi-line AI-Assisted Code Authoring. Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering. (150-160).

    https://doi.org/10.1145/3663529.3663836

  • Sergeyuk A, Titov S and Izadi M. In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review. Proceedings of the 1st ACM/IEEE Workshop on Integrated Development Environments. (95-100).

    https://doi.org/10.1145/3643796.3648463

  • Ciurumelea A, Alexandru C, Gall H and Proksch S. (2023). Completing Function Documentation Comments Using Structural Information. Empirical Software Engineering. 28:4. Online publication date: 1-Jul-2023.

    https://doi.org/10.1007/s10664-022-10284-6

  • Fan A, Gokkaya B, Harman M, Lyubarskiy M, Sengupta S, Yoo S and Zhang J. (2023). Large Language Models for Software Engineering: Survey and Open Problems 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE). 10.1109/ICSE-FoSE59343.2023.00008. 979-8-3503-2496-9. (31-53).

    https://ieeexplore.ieee.org/document/10449667/