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        A theory-driven testing methodology for developing scientific software

        Author
        Lane, Peter
        Gobet, Fernand
        Attention
        2299/10157
        Abstract
        Computer implementations of theoretical concepts play an ever-increasing role in the development and application of scientific ideas. As the scale of such implementations increases from relatively small models and empirical setups to overarching frameworks from which many kinds of results may be obtained, it is important to consider the methodology by which these implementations are developed. Using cognitive architectures as an example, we discuss the relation between an implementation of an architecture and its underlying theory, a relation between a computer program and its description. We argue for the use of an agile development methodology, based around a three-layer scientific test harness and continuous refactoring, as most suitable for developing scientific software. The ideas are illustrated with extended examples of implementing unified theories of human learning, taken from the chunking and template theories.
        Publication date
        2012
        Published in
        Journal of Experimental and Theoretical Artificial Intelligence
        Published version
        https://doi.org/10.1080/0952813X.2012.695443
        Other links
        http://hdl.handle.net/2299/10157
        Relations
        School of Computer Science
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