Software testing in a scientific research group
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Abstract
Scientific software is more difficult to test than many other software products, but scientists are not usually trained in software engineering techniques. Considering how often software is used to produce scientific results, how can we be sure the predictions made from these results are correct? Software engineering techniques should be useful for computational scientists. The problem is they find it difficult to know how to apply domain-independent techniques to the specific problems they face in their work. Nevertheless, we have discovered scientists use their own intuition to reinvent techniques surprisingly similar to those in software engineering. This seems like a good place to start our training.
Description
Journal Title
Proceedings of the 31st Annual ACM Symposium on Applied Computing
Conference Name
Proceedings of the 31st Annual ACM Symposium on Applied Computing
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery (ACM)
Publisher DOI
Rights and licensing
Except where otherwised noted, this item's license is described as http://www.rioxx.net/licenses/all-rights-reserved
Sponsorship
Engineering and Physical Sciences Research Council (EP/M026124/1)
This work was supported by the University of Cambridge/ Wellcome Trust Junior Interdisciplinary Fellowship “Making scientific software easier to understand, test and communicate through modern advances in software engineering”.
