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Peter J Clarke
Software Testing
Software Metrics
Model-Driven Software Development
Domain-Specific Modeling Languages
Computer Science Education
About
Peter J. Clarke received his BSc. degree in Computer Science and Mathematics from the University of the West Indies (Cave Hill) in 1987, MS degree from SUNY Binghamton University in 1996 and PhD in Computer Science from Clemson University in 2003. His research interests are in the areas of software testing, software metrics, model-driven software development, domain-specific modeling languages and computer science education. He has published over 75 research papers and is the PI on several NSF grants. He is a member of: ACM (SIGSOFT, SIGCSE, and SIGAPP); IEEE Computer Society; and the Association for Software Testing (AST).
Research and Educational Interests
Research Performance Summary
2001-2025
Active Research Span
First Recorded Paper
A unified approach to implementation-based testing of classes
Year:
2001
Citations:
11
Venue:
Proceedings of 1st Annual International Conference on Computer and
Latest Recorded Paper
Victim-Centred Abuse Investigations and Defenses for Social Media Platforms
Year:
2025
Citations:
0
Venue:
arXiv preprint arXiv:2503.01327
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Clarke
King
Deng
Research Impact by Period
Papers
4
Citations
3
Avg. Citations / Paper
0.8
H-Index
1
Papers
14
Citations
219
Avg. Citations / Paper
15.6
H-Index
4
Papers
37
Citations
559
Avg. Citations / Paper
15.1
H-Index
13
Papers
41
Citations
536
Avg. Citations / Paper
13.1
H-Index
13
Papers
47
Citations
585
Avg. Citations / Paper
12.4
H-Index
12
Papers
11
Citations
177
Avg. Citations / Paper
16.1
H-Index
7
Contact and Professional Links
Detected Research Keywords
User Centric Communication
Communication Virtual Machine
Model Driven Engineering
Testing Techniques Classes
Domain Specific Models
Implementation Testing Techniques
Health Information Technology
Testable Autonomic Software
Learning Engagement Strategies
Driven Engineering Languages