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.

DOI: https://doi.org/10.1145/2897134.2897137

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.

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About

• Item ORO ID
• 45469
• Item Type
• Conference or Workshop Item
• ISBN
• 1-4503-4174-8, 978-1-4503-4174-5
• Academic Unit or 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)
• Copyright Holders
• © 2016 The Authors
• Related URLs
• • http://2016.icse.cs.txstate.edu/(Other)
• Depositing User
• Jon G. Hall