Hyunsook Do

Hyunsook Do

University of North Texas

H-index: 27

North America-United States

About Hyunsook Do

Hyunsook Do, With an exceptional h-index of 27 and a recent h-index of 19 (since 2020), a distinguished researcher at University of North Texas,

His recent articles reflect a diverse array of research interests and contributions to the field:

A Hierarchical Topical Modeling Approach for Recommending Repair of Quality Bugs

A multi-model framework for semantically enhancing detection of quality-related bug report descriptions

Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs

ADSA–Association-Driven Safety Analysis to Expose Unknown Safety Issues

Towards semantically enhanced detection of emerging quality-related concerns in source code

Exploring Generalizability of NLP-based Models for Modern Software Development Cross-Domain Environments

Identifying safety issues from energy conservation requirements

Generalizability of NLP-based Models for Modern Software Development Cross-Domain Environments

Hyunsook Do Information

University

Position

Computer Science and Engineering

Citations(all)

4488

Citations(since 2020)

1434

Cited By

4037

hIndex(all)

27

hIndex(since 2020)

19

i10Index(all)

42

i10Index(since 2020)

32

Email

University Profile Page

University of North Texas

Google Scholar

View Google Scholar Profile

Top articles of Hyunsook Do

Title

Journal

Author(s)

Publication Date

A Hierarchical Topical Modeling Approach for Recommending Repair of Quality Bugs

Rrezarta Krasniqi

Hyunsook Do

2023

A multi-model framework for semantically enhancing detection of quality-related bug report descriptions

Empirical Software Engineering (EMSE)

Rrezarta Krasniqi

Hyunsook Do

2023

Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs

Rrezarta Krasniqi

Hyunsook Do

2023/10/1

ADSA–Association-Driven Safety Analysis to Expose Unknown Safety Issues

IEEE Transactions on Dependable and Secure Computing

Kaushik Madala

Hyunsook Do

Bastian Tenbergen

2023/2/24

Towards semantically enhanced detection of emerging quality-related concerns in source code

Software Quality Journal (SQJO)

Rrezarta Krasniqi

Hyunsook Do

2023

Exploring Generalizability of NLP-based Models for Modern Software Development Cross-Domain Environments

Rrezarta Krasniqi

Hyunsook Do

2023

Identifying safety issues from energy conservation requirements

Journal of Software: Evolution and Process

Kaushik Madala

Hyunsook Do

Bastian Tenbergen

2023/7

Generalizability of NLP-based Models for Modern Software Development Cross-Domain Environments

Rrezarta Krasniqi

Hyunsook Do

2023/5/20

Automatically capturing quality-related concerns in bug report descriptions for efficient bug triaging

Rrezarta Krasniqi

Hyunsook Do

2022

The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles.

Kaushik Madala

Hyunsook Do

2021

Functional Safety Hazards for Machine Learning Components in Autonomous Vehicles

Kaushik Madala

Hyunsook Do

2021/5/10

A Hierarchical Dependency-Driven Scenario-Based Testing for Autonomous Vehicles

Kaushik Madala

Hyunsook Do

2021/4/28

Model elements identification using neural networks: a comprehensive study

Requirements Engineering

Kaushik Madala

Shraddha Piparia

Eduardo Blanco

Hyunsook Do

Renee Bryce

2021/3

Resolving Confusion of Unknowns in Autonomous Vehicles: Types and Perspectives.

Kaushik Madala

Hyunsook Do

2021

Combinatorial testing of context aware android applications

Shraddha Piparia

David Adamo

Renee Bryce

Hyunsook Do

Barrett Bryant

2021/9/2

A Dependency-based Combinatorial Approach for Reducing Effort for Scenario-based Safety Analysis of Autonomous Vehicles.

Kaushik Madala

Hyunsook Do

Carlos Avalos-Gonzalez

2021

SACC-A property driven approach to expose undesired behaviors among system’s components

Kaushik Madala

Ke Ye Hang

Hyunsook Do

Bastian Tenbergen

2020/10/12

See List of Professors in Hyunsook Do University(University of North Texas)