Learning program semantics via exploring program structures with deep learning
The ubiquitousness of software in modern society and the boom in open-source software have made software engineering into the “big code” era. The availability of code-related data is massive (e.g., billions of code, millions of code changes, bug fixes and code documentation), which yields a hot topi...
Saved in:
Main Author: | Liu, Shangqing |
---|---|
Other Authors: | Liu Yang |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164454 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Learning program semantics with code representations: An empirical study
by: SIOW, Jing Kai, et al.
Published: (2022) -
Learning programming on mobile phones (1)
by: Ong, Joei Yi Lin
Published: (2015) -
3D application for learning programming concepts
by: Chen, Zhenni
Published: (2019) -
JFIX: Semantics-based repair of Java programs via symbolic PathFinder
by: LE, Xuan-Bach D., et al.
Published: (2017) -
Watermarking deep reinforcement learning
by: Sim, Ming Jie
Published: (2021)