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2020 – today
- 2024
[c20]Kris Roker, Upulee Kanewala:
Improving the Efficacy of Testing Scientific Software: Insights from Mutation Testing. ICSTW 2024: 273-282- [c19]Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala:
Poster: Towards Understanding Root Causes of Real Failures in Healthcare Machine Learning Applications. ICST 2024: 430-433 - [c18]Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala:
MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. ICST 2024: 445-447 - 2023
- [c17]Prashanta Saha, Clemente Izurieta, Upulee Kanewala
:
A Test Suite Minimization Technique for Testing Numerical Programs. SERA 2023: 61-68 - 2022
- [j6]Xiaoyuan Xie, Upulee Kanewala, Alastair F. Donaldson:
Workshop Summary: 7th International Workshop on Metamorphic Testing (MET 2022). ACM SIGSOFT Softw. Eng. Notes 47(4): 35-36 (2022) - [j5]Madhusudan Srinivasan, Upulee Kanewala:
Metamorphic relation prioritization for effective regression testing. Softw. Test. Verification Reliab. 32(3) (2022) - [c16]Zedong Peng, Xuanyi Lin, Sreelekhaa Nagamalli Santhoshkumar, Nan Niu, Upulee Kanewala:
Learning I/O Variables from Scientific Software's User Manuals. ICCS (4) 2022: 503-516 - [c15]Prashanta Saha, Upulee Kanewala:
Using Metamorphic Relations to Improve The Effectiveness of Automatically Generated Test Cases. SERA 2022: 140-148 - [i12]Madhusudan Srinivasan, Upulee Kanewala:
Prioritization of Metamorphic Relations to reduce the cost of testing. CoRR abs/2209.00162 (2022) - 2021
- [c14]Zedong Peng, Upulee Kanewala, Nan Niu:
Contextual Understanding and Improvement of Metamorphic Testing in Scientific Software Development. ESEM 2021: 28:1-28:6 - [i11]Madhusudan Srinivasan, Upulee Kanewala:
Metamorphic Relation Prioritization for Effective Regression Testing. CoRR abs/2109.09798 (2021) - 2020
- [c13]Prashanta Saha, Upulee Kanewala:
Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing. ICSE (Workshops) 2020: 418-419 - [c12]Karishma Rahman, Indika Kahanda, Upulee Kanewala:
MRpredT: Using Text Mining for Metamorphic Relation Prediction. ICSE (Workshops) 2020: 420-424 - [i10]Prashanta Saha, Upulee Kanewala:
Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing. CoRR abs/2004.08518 (2020)
2010 – 2019
- 2019
- [j4]Upulee Kanewala, Tsong Yueh Chen:
Metamorphic Testing: A Simple Yet Effective Approach for Testing Scientific Software. Comput. Sci. Eng. 21(1): 66-72 (2019) - [c11]Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala:
Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools. AITest 2019: 140-148 - [c10]Prashanta Saha, Upulee Kanewala:
Fault Detection Effectiveness of Metamorphic Relations Developed for Testing Supervised Classifiers. AITest 2019: 157-164 - [i9]Prashanta Saha, Upulee Kanewala:
Fault Detection Effectiveness of Metamorphic Relations Developed for Testing Supervised Classifiers. CoRR abs/1904.07348 (2019) - [i8]Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds, Diane Bimczok, Indika Kahanda, Upulee Kanewala:
Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools. CoRR abs/1904.08007 (2019) - 2018
- [c9]Prashanta Saha, Upulee Kanewala:
Fault Detection Effectiveness of Source Test Case Generation Strategies for Metamorphic Testing. MET@ICSE 2018: 2-9 - [c8]Karishma Rahman, Upulee Kanewala:
Predicting Metamorphic Relations for Matrix Calculation Programs. MET@ICSE 2018: 10-13 - [c7]Bonnie Hardin, Upulee Kanewala:
Using Semi-Supervised Learning for Predicting Metamorphic Relations. MET@ICSE 2018: 14-17 - [c6]Madhusudan Srinivasan, Morteza Pourreza Shahri, Indika Kahanda, Upulee Kanewala:
Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. MET@ICSE 2018: 26-33 - [i7]Karishma Rahman, Upulee Kanewala:
Predicting Metamorphic Relation for Matrix Calculation Programs. CoRR abs/1802.06863 (2018) - [i6]Bonnie Hardin, Upulee Kanewala:
Using Semi-Supervised Learning for Predicting Metamorphic Relations. CoRR abs/1802.07324 (2018) - [i5]Madhusudan Srinivasan, Morteza Pourreza Shahri, Upulee Kanewala, Indika Kahanda:
Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. CoRR abs/1802.07354 (2018) - [i4]Prashanta Saha, Upulee Kanewala:
Fault Detection Effectiveness of Source Test Case Generation Strategies for Metamorphic Testing. CoRR abs/1802.07361 (2018) - [i3]Upulee Kanewala, James M. Bieman:
Testing Scientific Software: A Systematic Literature Review. CoRR abs/1804.01954 (2018) - [i2]Janette Rounds, Upulee Kanewala:
Systematic Testing of Genetic Algorithms: A Metamorphic Testing based Approach. CoRR abs/1808.01033 (2018) - [i1]Morteza Pourreza Shahri, Madhusudan Srinivasan, Diane Bimczok, Upulee Kanewala, Indika Kahanda:
A look back at the quality of Protein Function Prediction tools in CAFA. PeerJ Prepr. 6: e27161 (2018) - 2017
- [c5]Laura L. Pullum, Dave Towey, Upulee Kanewala, Chang-Ai Sun, Márcio Eduardo Delamaro:
MET 2017 Workshop Summary. MET@ICSE 2017: 1 - 2016
- [j3]Upulee Kanewala, James M. Bieman, Asa Ben-Hur:
Predicting metamorphic relations for testing scientific software: a machine learning approach using graph kernels. Softw. Test. Verification Reliab. 26(3): 245-269 (2016) - [c4]Anders Lundgren, Upulee Kanewala:
Experiences of testing bioinformatics programs for detecting subtle faults. SE4Science@ICSE 2016: 16-22 - 2015
- [j2]Rafael A. P. Oliveira, Upulee Kanewala, Paulo Augusto Nardi:
Automated Test Oracles: State of the Art, Taxonomies, and Trends. Adv. Comput. 95: 113-199 (2015) - 2014
- [j1]Upulee Kanewala, James M. Bieman:
Testing scientific software: A systematic literature review. Inf. Softw. Technol. 56(10): 1219-1232 (2014) - [c3]Upulee Kanewala:
Techniques for Automatic Detection of Metamorphic Relations. ICST Workshops 2014: 237-238 - 2013
- [c2]Upulee Kanewala, James M. Bieman:
Techniques for testing scientific programs without an Oracle. SE-CSE@ICSE 2013: 48-57 - [c1]Upulee Kanewala, James M. Bieman:
Using machine learning techniques to detect metamorphic relations for programs without test oracles. ISSRE 2013: 1-10
Coauthor Index
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