Chaiyong Ragkhitwetsagul

About Chaiyong Ragkhitwetsagul

Chaiyong Ragkhitwetsagul, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Mahidol University, specializes in the field of Software Engineering.

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

Adoption of Automated Software Engineering Tools and Techniques in Thailand

Detecting Malicious Android Game Applications on Third-Party Stores Using Machine Learning

Autorepairability: A New Software Quality Characteristic

Studying the association between Gitcoin’s issues and resolving outcomes

Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems

A taxonomy for mining and classifying privacy requirements in issue reports

Mining the characteristics of Jupyter notebooks in data science projects

SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries

Chaiyong Ragkhitwetsagul Information

University

Position

Lecturer Faculty of ICT

Citations(all)

745

Citations(since 2020)

683

Cited By

269

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Chaiyong Ragkhitwetsagul Skills & Research Interests

Software Engineering

Top articles of Chaiyong Ragkhitwetsagul

Adoption of Automated Software Engineering Tools and Techniques in Thailand

Empirical Software Engineering

2024/5/1

Detecting Malicious Android Game Applications on Third-Party Stores Using Machine Learning

2024/4/9

Vasaka Visoottiviseth
Vasaka Visoottiviseth

H-Index: 11

Chaiyong Ragkhitwetsagul
Chaiyong Ragkhitwetsagul

H-Index: 8

Autorepairability: A New Software Quality Characteristic

2024

Chaiyong Ragkhitwetsagul
Chaiyong Ragkhitwetsagul

H-Index: 8

Yoshiki Higo
Yoshiki Higo

H-Index: 16

Studying the association between Gitcoin’s issues and resolving outcomes

Journal of Systems and Software

2023/12/1

Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems

2023/5/15

A taxonomy for mining and classifying privacy requirements in issue reports

Information and Software Technology

2023/5/1

Mining the characteristics of Jupyter notebooks in data science projects

arXiv preprint arXiv:2304.05325

2023/4/11

SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries

arXiv preprint arXiv:2212.04038

2022/12/8

Virtual reality for software engineering presentations

2022/12/6

Why Visualize Data When Coding? Preliminary Categories for Coding in Jupyter Notebooks

2022/12/6

Reusing My Own Code: Preliminary Results for Competitive Coding in Jupyter Notebooks

2022/12/6

V-achilles: An interactive visualization of transitive security vulnerabilities

2022/10/10

Bigclonebench considered harmful for machine learning

2022/10/2

Jens Krinke
Jens Krinke

H-Index: 23

Chaiyong Ragkhitwetsagul
Chaiyong Ragkhitwetsagul

H-Index: 8

A component recommendation model for issues in software projects

2022/6/22

pycefr

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

2022/5/16

pycefr: Python competency level through code analysis

2022/5/16

Recommending Code Improvements Based on Stack Overflow Answer Edits

arXiv preprint arXiv:2204.06773

2022/4/14

Chaiyong Ragkhitwetsagul
Chaiyong Ragkhitwetsagul

H-Index: 8

Identifying Software Engineering Challenges in Software SMEs: A Case Study in Thailand

2022/3/15

Mining and classifying privacy and data protection requirements in issue reports

arXiv preprint arXiv:2112.13994

2021/12/28

Fixme: A github bot for detecting and monitoring on-hold self-admitted technical debt

2021/11/15

See List of Professors in Chaiyong Ragkhitwetsagul University(Mahidol University)

Co-Authors

academic-engine