From Copilot to Pilot: Towards AI Supported Software Development

A. H. Maslow, “A theory of human motivation.” Psychological Review , vol. 50, no. 4, pp. 370–396, Jul. 1943. [Online]. Available: https://doi.org/10.1037/h0054346

1943

Earlier work this paper cites.

R. Kazman, M. Klein, M. Barbacci, T. Longstaff, H. Lipson, and J. Carriere, “The architecture tradeoff analysis method,” in International Conference on Engineering of Complex Computer Systems . IEEE Comput. Soc, Aug 1998, pp. 68–78

1998

Earlier work this paper cites.

D. Mandelin, L. Xu, R. Bodík, and D. Kimelman, “Jungloid mining: Helping to navigate the api jungle,” in Proceedings of the 2005 ACM SIGPLAN Conference on Programming Language Design and Implementation , ser. PLDI ’05. New York, NY, USA: Association for Computing Machinery, 2005, p. 48–61. [Online]. Available: https://doi.org/10.1145/1065010.1065018

2005

Earlier work this paper cites.

G. Murphy, M. Kersten, and L. Findlater, “How are java software developers using the eclipse ide?” IEEE Software , vol. 23, no. 4, pp. 76–83, 2006

2006

Earlier work this paper cites.

Airbnb, “Airbnb javascript style guide,” 2012. [Online]. Available: https://github.com/airbnb/javascript

2012

Earlier work this paper cites.

A. Hindle, E. T. Barr, Z. Su, M. Gabel, and P. Devanbu, “On the naturalness of software,” in Proceedings of the 34th International Conference on Software Engineering , ser. ICSE ’12. IEEE Press, 2012, p. 837–847

2012

Earlier work this paper cites.

I. Gorton, J. Klein, and A. Nurgaliev, “Architecture knowledge for evaluating scalable databases,” in 2015 12th Working IEEE/IFIP Conference on Software Architecture , 2015, pp. 95–104

2015

Earlier work this paper cites.

N. A. Ernst, S. Bellomo, I. Ozkaya, and R. L. Nord, “What to fix? distinguishing between design and non-design rules in automated tools,” in 2017 IEEE International Conference on Software Architecture (ICSA) . IEEE, Apr. 2017. [Online]. Available: https://doi.org/10.1109/icsa.2017.25

2017

Earlier work this paper cites.

S. Wagner and M. Ruhe, “A systematic review of productivity factors in software development,” Arxiv , 2018. [Online]. Available: https://arxiv.org/abs/1801.06475

Original

2018

Earlier work this paper cites.

C. V. Alexandru, J. J. Merchante, S. Panichella, S. Proksch, H. C. Gall, and G. Robles, “On the usage of pythonic idioms,” in Proceedings of the 2018 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software , ser. Onward! 2018. New York, NY, USA: Association for Computing Machinery, 2018, p. 1–11. [Online]. Available: https://doi.org/10.1145/3276954.3276960

2018

Earlier work this paper cites.

X. Gu, H. Zhang, and S. Kim, “Deep code search,” in 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) , 2018, pp. 933–944

2018

Earlier work this paper cites.

S. Baltes, L. Dumani, C. Treude, and S. Diehl, “SOTorrent: reconstructing and analyzing the evolution of stack overflow posts,” in Proceedings of International Conference on Mining Software Repositories . ACM, 2018, pp. 319–330

2018

Earlier work this paper cites.

Z. Yao, J. R. Peddamail, and H. Sun, “Coacor: Code annotation for code retrieval with reinforcement learning,” in The World Wide Web Conference , ser. WWW ’19. New York, NY, USA: Association for Computing Machinery, 2019, p. 2203–2214. [Online]. Available: https://doi.org/10.1145/3308558.3313632

2019

Cited alongside, same era.

T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei, “Language models are few-shot learners,” in Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan, and H. Lin, Eds., vol. 33. Curran Associates, Inc., 2020, pp. 1877–1901. [Online]. Available: https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf

2020

Cited alongside, same era.

H. Pearce, B. Ahmad, B. Tan, B. Dolan-Gavitt, and R. Karri, “Asleep at the keyboard? assessing the security of github copilot’s code contributions,” in 2022 2022 IEEE Symposium on Security and Privacy (SP) (SP) . Los Alamitos, CA, USA: IEEE Computer Society, may 2022, pp. 980–994. [Online]. Available: https://doi.ieeecomputersociety.org/10.1109/SP46214.2022.00057

2022

Later among the works it cites.

M. Ciniselli, L. Pascarella, and G. Bavota, “To what extent do deep learning-based code recommenders generate predictions by cloning code from the training set?” 2022. [Online]. Available: https://arxiv.org/abs/2204.06894

Original

2022

Later among the works it cites.

R. Pudari and N. A. Ernst, “Replication package,” 2022. [Online]. Available: https://figshare.com/s/d39469927e2c620ec5d2

2022

Later among the works it cites.

N. Nguyen and S. Nadi, “An empirical evaluation of GitHub Copilot’s code suggestions,” in Proceedings of the 19th ACM International Conference on Mining Software Repositories (MSR) , 2022, pp. 1–5