Semantic Scholar Open Access 2019 847 sitasi

Machine Learning Testing: Survey, Landscapes and Horizons

J Zhang M. Harman Lei Ma Yang Liu

Lihat Sumber DOI

Abstrak

This paper provides a comprehensive survey of techniques for testing machine learning systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing properties (e.g., correctness, robustness, and fairness), testing components (e.g., the data, learning program, and framework), testing workflow (e.g., test generation and test evaluation), and application scenarios (e.g., autonomous driving, machine translation). The paper also analyses trends concerning datasets, research trends, and research focus, concluding with research challenges and promising research directions in ML testing.

Topik & Kata Kunci

Computer Science Mathematics

Penulis (4)

J Zhang

M. Harman

Lei Ma

Yang Liu

Format Sitasi

APA MLA BibTeX

Zhang, J., Harman, M., Ma, L., Liu, Y. (2019). Machine Learning Testing: Survey, Landscapes and Horizons. https://doi.org/10.1109/tse.2019.2962027

Akses Cepat

Lihat di Sumber doi.org/10.1109/tse.2019.2962027

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 847×
Sumber Database: Semantic Scholar
DOI: 10.1109/tse.2019.2962027
Akses: Open Access ✓