Demystifying API misuses in deep learning applications

Author:

Yang Deheng,Liu Kui,Lei YanORCID,Li Li,Xie Huan,Liu Chunyan,Wang Zhenyu,Mao Xiaoguang,Bissyandé Tegawendé F.

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference82 articles.

1. A curated list of static analysis (sast) tools for all programming languages. https://github.com/analysis-tools-dev/static-analysis#python. Accessed June 2021

2. Abadi M, Barham P, Chen J, Chen Z, Davis A, Dean J, Devin M, Ghemawat S, Irving G, Isard M, et al (2016) Tensorflow: a system for large-scale machine learning. In 12th $$\{$$USENIX$$\}$$ symposium on operating systems design and implementation ($$\{$$OSDI$$\}$$ 16), p 265–283

3. Al-Rfou R, Alain G, Almahairi A, Angermueller C, Bahdanau D, Ballas N, Bastien F, Bayer J, Belikov A, The Theano Development Team et al (2016)Theano: a python framework for fast computation of mathematical expressions. arXiv:1605.02688

4. Amann S, Nguyen HA, Nadi S, Nguyen TN, Mezini M (2018) A systematic evaluation of static api-misuse detectors. IEEE Trans Softw Eng 45(12):1170–1188

5. Amann S, Nadi S, Nguyen HA, Nguyen TN, Mezini M (2016) Mubench: a benchmark for api-misuse detectors. In Proceedings of the 13th international conference on mining software repositories, pp 464–467

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