activity
20182021
most citedImproving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing

4 citations · 4 across the 4 of their papers we have counts for

collaborators

10 papers

cs.SE2021

Metamorphic Relation Prioritization for Effective Regression Testing

Madhusudan Srinivasan, Upulee Kanewala

Metamorphic testing (MT) is widely used for testing programs that face the oracle problem. It uses a set of metamorphic relations (MRs), which are relations among multiple inputs a…

cs.SE20204 cited

Improving The Effectiveness of Automatically Generated Test Suites Using Metamorphic Testing

Prashanta Saha, Upulee Kanewala

Automated test generation has helped to reduce the cost of software testing. However, developing effective test oracles for these automatically generated test inputs is a challengi…

cs.SE2019

Metamorphic Testing for Quality Assurance of Protein Function Prediction Tools

Morteza Pourreza Shahri, Madhusudan Srinivasan, Gillian Reynolds +3

Proteins are the workhorses of life and gaining insight on their functions is of paramount importance for applications such as drug design. However, the experimental validation of…

cs.SE2019

Fault Detection Effectiveness of Metamorphic Relations Developed for Testing Supervised Classifiers

Prashanta Saha, Upulee Kanewala

In machine learning, supervised classifiers are used to obtain predictions for unlabeled data by inferring prediction functions using labeled data. Supervised classifiers are widel…

cs.SE2018

Systematic Testing of Genetic Algorithms: A Metamorphic Testing based Approach

Janette Rounds, Upulee Kanewala

Genetic Algorithms are a popular set of optimization algorithms often used to aid software testing. However, no work has been done to apply systematic software testing techniques t…

cs.SE2018

Testing Scientific Software: A Systematic Literature Review

Upulee Kanewala, James M. Bieman

Context: Scientific software plays an important role in critical decision making, for example making weather predictions based on climate models, and computation of evidence for re…