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Parametrising a theory of software problem solving

Hall, Jon G. and Rapanotti, Lucia (2016). Parametrising a theory of software problem solving. In: TOSE '16: Proceedings of the 5th International Workshop on Theory-Oriented Software Engineering, ACM, New York, pp. 22–25.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2897134.2897137
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Abstract

We explore what can be said about the detailed modelling of problem solving ability via a stochastic semantics of a theory of software problem solving, and end with an invitation to discuss possible experiments that may lead to the practical characterisation of the problem solving ability of software teams.

Item Type: Conference or Workshop Item
Copyright Holders: 2016 The Authors
ISBN: 1-4503-4174-8, 978-1-4503-4174-5
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 45469
Depositing User: Jon Hall
Date Deposited: 01 Mar 2016 10:53
Last Modified: 02 May 2018 14:17
URI: http://oro.open.ac.uk/id/eprint/45469
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