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(2014) Philosophy & Technology 27 (3).
Computational idealizations in software intensive science
a comment on Symons' and Horner's paper
Nicola Angius
pp. 479-484
This commentary on John Symons' and Jack Horner's paper, besides sharing its main argument, challenges the authors' statement that there is no effective method to evaluate software-intensive systems as a distinguishing feature of software intensive science. It is underlined here how analogous methodological limitations characterise the evaluations of empirical systems in non-software intensive sciences. The authors' claim that formal methods establish the correctness of computational models rather than of the represented programme is here compared with the empirical adequacy problem typifying the model-based reasoning approach in physics, and the remark that testing all the paths of a software-intensive system is unfeasible is related to the enumerative induction problem in the justification of empirical law-like hypotheses in non-software intensive sciences.
Publication details
DOI: 10.1007/s13347-014-0173-8
Full citation:
Angius, N. (2014). Computational idealizations in software intensive science: a comment on Symons' and Horner's paper. Philosophy & Technology 27 (3), pp. 479-484.
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