Exploring the use of deep learning for feature location
By Christopher S. Corley, Kostadin Damevski, Nicholas A. Kraft. 2015
52 citations recorded by the source corpus.
Subfields: Artificial Intelligence
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Hongyu Zhang
- Xiaodong Gu
- Sunghun Kim
- Michele Tufano
- Gabriele Bavota
- Jevgenija Pantiuchina
- Denys Poshyvanyk
- Cody Watson
Citations in the corpus
- On Learning Meaningful Code Changes Via Neural Machine Translation (2019, methodology): “Due to the power of these representations, many works have applied these models to solve SE problems [39][26][37][35][51][44][58][43].”
- Deep Code Search (2018, methodology): “Besides code search, there have been many other information retrieval tasks in software engineering [8, 9, 16, 23, 24, 29, 51, 55, 63, 67] such as bug localization [66, 73, 80], feature localization [19], traceability links recovery [20] and community Question Answering [11].”