Predicting metamorphic relations for testing scientific software: a machine learning approach using graph kernels

Automated metamorphic testing of variability analysis tools

(2015) Sergio Segura et al.   SOFTWARE TESTING VERIFICATION & RELIABILITY

A methodology for validating cloud models using metamorphic testing

(2014) Alberto Núñez et al.   Annals of Telecommunications

Testing scientific software: A systematic literature review

(2014) Upulee Kanewala et al.   INFORMATION AND SOFTWARE TECHNOLOGY

How Effectively Does Metamorphic Testing Alleviate the Oracle Problem?

(2013) Huai Liu et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Troubling Trends in Scientific Software Use

(2013) L. N. Joppa et al.   SCIENCE

Testing Scientific Programs

(2012) Paul F. Dubois   COMPUTING IN SCIENCE & ENGINEERING

An extensive experimental comparison of methods for multi-label learning

(2012) Gjorgji Madjarov et al.   PATTERN RECOGNITION

Automating image segmentation verification and validation by learning test oracles

(2011) Kambiz Frounchi et al.   INFORMATION AND SOFTWARE TECHNOLOGY

A case study on testing CMM uncertainty simulation software (VCMM)

(2011) Alvaro José Abackerli et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering

Testing and validating machine learning classifiers by metamorphic testing

(2010) Xiaoyuan Xie et al.   JOURNAL OF SYSTEMS AND SOFTWARE

An innovative approach for testing bioinformatics programs using metamorphic testing

(2009) Tsong Chen et al.   BMC BIOINFORMATICS

Dealing with Risk in Scientific Software Development

(2008) Rebecca Sanders et al.   IEEE SOFTWARE