Publications

My research has been published in premier software engineering conferences and journals, including IEEE RE, ICSE, SANER, ESEM, IEEE IRI, and the Requirements Engineering journal. I have received multiple best paper awards and serve as a reviewer for top-tier venues in software engineering.

For the most up-to-date list, see my Google Scholar profile.

Conference & Workshop Papers

🏆 Best Paper Runner-up Award

Cross-Cutting Security Analysis of LLM-Generated Code via Metamorphic Testing and Association Rule Mining

Zedong Peng, Chenggang Wang, Shangyue Zhu

2026 IEEE 27th International Conference on Information Reuse and Integration for Data Science (IRI), pp. 129-134, 2026

LLM security metamorphic testing code generation

Evaluating and Improving Pedagogical Fit in LLM-Based AI Tutors with the Pedagogical Suitability Index

Benjamin Barlog, Hudson Craig, Zedong Peng

2026 IEEE 27th International Conference on Information Reuse and Integration for Data Science (IRI), pp. 86-91, 2026

LLM AI tutors education evaluation

Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework

Jianru Shen, Zedong Peng, Lucy Owen

2026 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 1-6, 2026

LLM code generation empirical study

The AI Imitation Game: A Cognitive Comparison of Mimicry in Large Language Models

Victor Wen, Zedong Peng, Yusi Chen

2025 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), pp. 79-84, 2025

AI LLM cognition mimicry

Advanced Vulnerability Scanning for Open Source Software to Minimize False Positives

Victor Wen, Zedong Peng

2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), pp. 156-157, 2024

vulnerability security open-source

Leveraging ChatGPT to Predict Requirements Testability with Differential In-Context Learning

Mahima Dahiya, Rashminder Gill, Nan Niu, Hemanth Gudaparthi, Zedong Peng

2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), pp. 170-175, 2024

requirements engineering testability LLM

What You See Is What You Test: Recommending Features from GUIs for Requirements-Based Testing

Zedong Peng, Juha Savolainen, Jianzhang Zhang, Nan Niu

2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), pp. 289-294, 2023

requirements-based testing GUI traceability

Resource-Centric Goal Model Slicing for Detecting Feature Interactions

Zedong Peng, Mahima Dahiya, Tessneem Khalil, Nan Niu, Tanmay Bhowmik, Yilong Yang

2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), pp. 58-63, 2023

goal modeling feature interaction requirements engineering

Learning I/O Variables from Scientific Software's User Manuals

Zedong Peng, Xuanyi Lin, Sreelekhaa Nagamalli Santhoshkumar, Nan Niu, Upulee Kanewala

Computational Science–ICCS 2022: 22nd International Conference, pp. 503-516, 2022

scientific software NLP testing
🏆 Best Emerging Results and Vision Paper Award

Contextual Understanding and Improvement of Metamorphic Testing in Scientific Software Development

Zedong Peng, Upulee Kanewala, Nan Niu

Proceedings of the 15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pp. 1-6, 2021

metamorphic testing scientific software
🏆 Best Research Paper Award

Environment-Driven Abstraction Identification for Requirements-Based Testing

Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, Lin Shi, Zhi Jin

2021 IEEE 29th International Requirements Engineering Conference (RE21), pp. 245-256, 2021

requirements engineering abstraction traceability testing

Co-AI: A Colab-Based Tool for Abstraction Identification

Zedong Peng, Nan Niu

2021 IEEE 29th International Requirements Engineering Conference (RE), pp. 420-421, 2021

tool requirements engineering AI

Towards Norm Classification: An Initial Analysis of HIPAA Breaches

Vedarsh Shah, Zedong Peng, Ganesh Malla, Nan Niu

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW), pp. 415-420, 2021

norm compliance HIPAA

I/O Associations in Scientific Software: A Study of SWMM

Zedong Peng, Xuanyi Lin, Nan Niu, Omar I. Abdul-Aziz

Computational Science–ICCS 2021: 21st International Conference, pp. 375-389, 2021

scientific software SWMM

Semantic Frames for Classifying Temporal Requirements: An Exploratory Study

Aurek Chattopadhyay, Nan Niu, Zedong Peng, Jianzhang Zhang

4th Workshop on Natural Language Processing for Requirements Engineering (NLP4RE'21), 2021

NLP requirements engineering temporal

Finding Metamorphic Relations for Scientific Software

Xuanyi Lin, Zedong Peng, Nan Niu, Wentao Wang, Hui Liu

43rd International Conference on Software Engineering (ICSE 2021), 2021

metamorphic testing scientific software

Unit Tests of Scientific Software: A Study on SWMM

Zedong Peng, Xuanyi Lin, Nan Niu

International Workshop on Software Engineering for Science (SE4Science 2020), pp. 413-427, 2020

unit testing scientific software SWMM

Correct Software by Design for Software-Defined Networking: A Preliminary Study

Liang Hao, Xin Sun, Lan Lin, Zedong Peng

International Conference on Software Engineering and Knowledge Engineering (SEKE), pp. 127-134, 2020

software design SDN

Journal Papers

Testing Software's Changing Features with Environment-Driven Abstraction Identification

Zedong Peng, Prachi Rathod, Nan Niu, Tanmay Bhowmik, Hui Liu, Lin Shi, Zhi Jin

Requirements Engineering, Vol. 27, No. 4, pp. 405-427, 2022

requirements engineering abstraction testing

Unit and Regression Tests of Scientific Software: A Study on SWMM

Zedong Peng, Xuanyi Lin, Michelle Simon, Nan Niu

Journal of Computational Science, Vol. 53, pp. 101347, 2021

testing scientific software SWMM

Discovering Metamorphic Relations for Scientific Software from User Forums

Xuanyi Lin, Michelle Simon, Zedong Peng, Nan Niu

Computing in Science and Engineering, Vol. 23, No. 2, 2021

metamorphic testing scientific software

Preprints & Under Review

When Post-Anchor Metrics Fail: Stabilization Regimes in AI-Evidence Open-Source Projects

Hudson Craig, Benjamin Barlog, Chenggang Wang, Longwei Wang, Zedong Peng

arXiv preprint arXiv:2607.16979, 2026 (under review)

mining software repositories AI-generated code empirical study

Advanced Vulnerability Scanning for Open Source Software: Detection and Mitigation of Log4j Vulnerabilities

Victor Wen, Zedong Peng

arXiv preprint arXiv:2601.00235, 2026 (under review)

vulnerability security open-source