Toward Sustainable Software for Science - Implementing and Assessing Systematic Testing Approaches for Scientific Software

Custom scientific software is widely used in science and engineering. Often such software plays an important role in critical decision making. But, due to the lack of systematic testing in scientific software, subtle faults can remain undetected. One of the greatest challenges for systematic testing of scientific software is the oracle problem. We aim to develop automated testing techniques to overcome this challenge. These techniques will be implemented in METtester: a publically available testing tool that can be used in the day-to-day scientific development process.