4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.SE2020★ 4 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
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
Fault Detection Effectiveness of Source Test Case Generation Strategies for Metamorphic Testing
Prashanta Saha, Upulee Kanewala
Metamorphic testing is a well known approach to tackle the oracle problem in software testing. This technique requires the use of source test cases that serve as seeds for the gene…