Peter
J. Clarke
Summer 2026:
Office
Hours:
- Tuesday 7:00pm -
9:00pm
- Wednesday 5:00pm
- 7:00pm
- Or
by appointment
|
Announcements:
|
Recent
Publications:
- Vijayalakshmi
Ramasamy, Hagit Leshem, Maria Reid, Sharon Tuttle, Tiana Solis, Md Ali,
Edward
Jones, and Peter J. Clarke. 2026. Investigating
Student Belonging, Engagement,
and Self-Efficacy in Online and In-Person Learning Environments.
Proceedings of
the 57th ACM Technical Symposium on Computer Science Education V.1.
Association
for Computing Machinery, New York, NY, USA, 901–907.
https://doi.org/10.1145/3770762.3772626
- Gabriel Prieto, Neila Bennamane,
Agoritsa Polyzou and Peter J.
Clarke. Exploring
Collaborative Success of Undergraduate Students within a Cyberlearning
Environment Using Gamification. 2025 ASEE Annual Conference and
Exposition,
Computing and Information Technology Division (CIT). Paper ID # 47018
- Ingrid
Buckley, Bogdan Carbunar, Juan P
Sotomayor, and Peter J. Clarke. An Experience Report on Using a
Cyberlearning
Environment for Cybersecurity Courses. 2025 ASEE Annual Conference
and
Exposition, Software Engineering Division (SWED). Paper ID # 46313
- Alejandro Roque, Juan P. Sotomayor,
Dionny Santiago, and Peter J.
Clarke. A Literature Review of Software Testing Practices and
Frameworks in the
Gaming
Industry. Journal of Software Testing, Verification and
Reliability. 2025, 35: e70001. https://doi.org/10.1002/stvr.70001.
- Juan
P. Sotomayor, Sai Chaithra Allala, Dionny Santiago, Tariq M. King, and
Peter J.
Clarke. Comparison of Open-Source Runtime Testing Tools for
Microservices. Software
Quality Journal. 31, 55-87 (2023).
https://doi.org/10.1007/s11219-022-09583-4
- Peter J. Clarke, Debra L. Davis, Ingrid A. Buckley, Geoff Potvin,
M.O. Thirunarayanan, Edward L. Jones. Combining Learning
and
Engagement Strategies in a Software Testing Learning Environment.
ACM Transactions on Computing Education (TOCE), 22, 2, Article 11. June
2022. Published 01 November 2021.
Research Groups:
- Investigate
new ways to perform automated software testing that use new research
techniques and methods from AI and ML.
- Explore
how
model-driven engineering techniques can improve software
testing.
- Collaborate
with companies and researchers to find solutions to previously
mentioned objectives.
- Computing
Education Research
Group
(CERG) - The main objective of the group is to improve
pedagogy in CS/IT
courses using proven and new evidence-based approaches.
Contact
Information:
Office CASE 212A
School of Computing and Information Sciences
College of Engineering and Computing
Florida International University
Miami, FL 33199
(305) 348-2440
email: clarkep.AT.fiu.edu
Last updated 05/09/2026