Generating test input with deep reinforcement learning

Author:

Kim Junhwi1,Kwon Minhyuk2,Yoo Shin1

Affiliation:

1. KAIST, Daejeon, Republic of Korea

2. Suresoft Technology, Seoul, Republic of Korea

Funder

IITP

Publisher

ACM

Reference23 articles.

1. Marcin Andrychowicz Misha Denil Sergio Gomez Matthew W Hoffman David Pfau Tom Schaul and Nando de Freitas. 2016. Learning to learn by gradient descent by gradient descent. In Advances in Neural Information Processing Systems. 3981--3989. Marcin Andrychowicz Misha Denil Sergio Gomez Matthew W Hoffman David Pfau Tom Schaul and Nando de Freitas. 2016. Learning to learn by gradient descent by gradient descent. In Advances in Neural Information Processing Systems. 3981--3989.

2. Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. OpenAI Gym. (2016). arXiv:arXiv:1606.01540 Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. OpenAI Gym. (2016). arXiv:arXiv:1606.01540

3. Whole Test Suite Generation

4. A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search

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