activity
20182020
most citedPatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel

36 citations · 38 across the 2 of their papers we have counts for

collaborators

5 papers

cs.IR20202 cited

Keen2Act: Activity Recommendation in Online Social Collaborative Platforms

Roy Ka-Wei Lee, Thong Hoang, Richard J. Oentaryo +1

Social collaborative platforms such as GitHub and Stack Overflow have been increasingly used to improve work productivity via collaborative efforts. To improve user experiences in…

cs.SE2020

CC2Vec: Distributed Representations of Code Changes

Thong Hoang, Hong Jin Kang, Julia Lawall +1

Existing work on software patches often use features specific to a single task. These works often rely on manually identified features, and human effort is required to identify the…

cs.SE201936 cited

PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel

Thong Hoang, Julia Lawall, Yuan Tian +2

Linux kernel stable versions serve the needs of users who value stability of the kernel over new features. The quality of such stable versions depends on the initiative of kernel d…

cs.SE2019

PatchNet: A Tool for Deep Patch Classification

Thong Hoang, Julia Lawall, Richard J. Oentaryo +2

This work proposes PatchNet, an automated tool based on hierarchical deep learning for classifying patches by extracting features from commit messages and code changes. PatchNet co…

cs.IR2018

Network-Clustered Multi-Modal Bug Localization

Thong Hoang, Richard J. Oentaryo, Tien-Duy B. Le +1

Developers often spend much effort and resources to debug a program. To help the developers debug, numerous information retrieval (IR)-based and spectrum-based bug localization tec…