| 2026 | FlAIRS | RAMP - Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models. | Ella Luedeke, Natalie Spiro, Indika Kahanda, Brian Lane, Caleb Spiers, Terrie M. Galanti, Upulee Kanewala |
| 2025 | ICMLA | Improving Robustness of Large Language Models Used in Healthcare Through Prompt Engineering. | Jonathan O'Berry, Indika Kahanda, Upulee Kanewala |
| 2025 | SERA | Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT. | Harishwar Reddy, Madhusudan Srinivasan, Upulee Kanewala |
| 2024 | ICST | Poster: Towards Understanding Root Causes of Real Failures in Healthcare Machine Learning Applications. | Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala |
| 2024 | ICST | MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. | Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala |
| 2024 | ICST | Improving the Efficacy of Testing Scientific Software: Insights from Mutation Testing. | Kris Roker, Upulee Kanewala |
| 2023 | SERA | A Test Suite Minimization Technique for Testing Numerical Programs. | Prashanta Saha, Clemente Izurieta, Upulee Kanewala |
| 2022 | ICCS | Learning I/O Variables from Scientific Software's User Manuals. | Zedong Peng, Xuanyi Lin, Sreelekhaa Nagamalli Santhoshkumar, Nan Niu, Upulee Kanewala |
| 2022 | SERA | Using Metamorphic Relations to Improve The Effectiveness of Automatically Generated Test Cases. | Prashanta Saha, Upulee Kanewala |
| 2021 | ESEM | Contextual Understanding and Improvement of Metamorphic Testing in Scientific Software Development. | Zedong Peng, Upulee Kanewala, Nan Niu |
| 2020 | ICSE | MRpredT: Using Text Mining for Metamorphic Relation Prediction. | Karishma Rahman, Indika Kahanda, Upulee Kanewala |
| 2020 | ICSE | Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing. | Prashanta Saha, Upulee Kanewala |
| 2018 | ICSE | Using Semi-Supervised Learning for Predicting Metamorphic Relations. | Bonnie Hardin, Upulee Kanewala |
| 2018 | ICSE | Predicting Metamorphic Relations for Matrix Calculation Programs. | Karishma Rahman, Upulee Kanewala |
| 2018 | ICSE | Fault Detection Effectiveness of Source Test Case Generation Strategies for Metamorphic Testing. | Prashanta Saha, Upulee Kanewala |
| 2018 | ICSE | Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. | Madhusudan Srinivasan, Morteza Pourreza Shahri, Indika Kahanda, Upulee Kanewala |
| 2017 | ICSE | MET 2017 Workshop Summary. | Laura L. Pullum, Dave Towey, Upulee Kanewala, Chang-Ai Sun, Mrcio Eduardo Delamaro |
| 2016 | ICSE | Experiences of testing bioinformatics programs for detecting subtle faults. | Anders Lundgren, Upulee Kanewala |
| 2014 | ICST | Techniques for Automatic Detection of Metamorphic Relations. | Upulee Kanewala |
| 2013 | ICSE | Techniques for testing scientific programs without an Oracle. | Upulee Kanewala, James M. Bieman |
| 2013 | ISSRE | Using machine learning techniques to detect metamorphic relations for programs without test oracles. | Upulee Kanewala, James M. Bieman |