Neural Attribution for Semantic Bug-Localization in Student Programs

By Rahul Gupta, Aditya Kanade, Shirish K. Shevade. 2019

41 citations recorded by the source corpus.

Subfields: Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Nan Duan
2. Michihiro Yasunaga
3. Ming Zhou
4. Duyu Tang
5. Neel Sundaresan
6. Percy Liang
7. Alexey Svyatkovskiy
8. Daya Guo

Citations in the corpus

• Graph-based, Self-Supervised Program Repair from Diagnostic Feedback (2020, methodology): “RLAssist (Gupta et al., 2019b), SampleFix (Hajipour et al., 2019) improve on it by introducing reinforcement learning or better sampling methods.”
• CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (2021, background): “Bug localization [55, 24, 71] is to point the error location when a program fails tests.”