Prashanta SahaDeutsche Bank | DB
Prashanta Saha
Doctor of Philosophy
About
8
Publications
775
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55
Citations
Introduction
Prashanta Saha currently pursuing his PhD degree at the Gianforte School of Computing, Montana State University, Bozeman. Prashanta does research in Software Testing and Quality assurance . His current project is 'METtester: A Metamorphic testing tool '.
Additional affiliations
November 2018 - March 2020
January 2016 - November 2019
Education
February 2008 - September 2012
Publications
Publications (8)
Metamorphic testing is a technique that uses metamorphic relations (i.e., necessary properties of the software under test), to construct new test cases (i.e., follow-up test cases), from existing test cases (i.e., source test cases). Metamorphic testing allows for the verification of testing results without the need of test oracles (a mechanism to...
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 challenging task. Therefore , most automated test generation tools use trivial oracles that reduce the fault detection effectiveness of these automatically generated test cases. I...
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 challenging task. Therefore, most automated test generation tools use trivial oracles that reduce the fault detection effectiveness of these automatically generated test cases. In...
In machine learning, supervised classifiers are used to obtain predictions for unlabeled data by inferring prediction functions using labeled data. Supervised classifiers are widely applied in domains such as computational biology, computational physics and healthcare to make critical decisions. However, it is often hard to test supervised classifi...
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 generation of follow-up test cases. Systematic design of test cases is crucial for the test quality. Thus, source test case generation strategy can make a big impact on the f...
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 generation of follow-up test cases. Systematic design of test cases is crucial for the test quality. Thus, source test case generation strategy can make a big impact on the f...
