과제정보
본 연구는 과학기술정보통신부의 재원 (1711194613, RS-2023-00213733)과 교육부의 재원 (NRF-2018R1A6A1A03025109)으로 한국연구재단의 지원을 받아 수행된 연구임.
참고문헌
- Islam, M. J., Nguyen, G., Pan, R., & Rajan, H., A comprehensive study on deep learning bug characteristics. In: Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 2019. p. 510-520.
- Zhang, H., Cruz, L., & Van Deursen, A., Code smells for machine learning applications. In: Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI. 2022. p. 217-228.
- Simmons, A. J., Barnett, S., Rivera-Villicana, J., Bajaj, A., & Vasa, R., A large-scale comparative analysis of coding standard conformance in open-source data science projects. In: Proceedings of the 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). 2020. p. 1-11.
- Jebnoun, H., Ben Braiek, H., Rahman, M. M., & Khomh, F., The scent of deep learning code: An empirical study. In: Proceedings of the 17th International Conference on Mining Software Repositories. 2020. p. 420-430.