Paper Info
Title
Software testing in a scientific research group.
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.
Year
DOI
Venue
2016
10.1145/2851613.2851783
SAC 2016: Symposium on Applied Computing Pisa Italy April, 2016
Field
DocType
ISBN
Software Engineering Process Group,Personal software process,Software analytics,Software engineering,Software peer review,Computer science,Software verification and validation,Software construction,Software development,Social software engineering
Conference
978-1-4503-3739-7
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Matthew Patrick1235.41
James Elderfield200.34
Richard O. J. H. Stutt310.68
Andrew Rice438430.11
Christopher A. Gilligan53710.33