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A methodology for the use of the teleo-reactive programming technique in autonomic computing

A methodology for the use of the teleo-reactive programming technique in autonomic computing

Hawthorne, James and Anthony, Richard (2010) A methodology for the use of the teleo-reactive programming technique in autonomic computing. In: Proceedings: 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2010). IEEE Computer Society, Los Alamitos, CA, USA, pp. 245-250. ISBN 978-0-7695-4088-7 (doi:10.1109/SNPD.2010.44)

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Abstract

Previous work on the use of the Teleo-Reactive technique in high level software development has shown it to be a viable approach for autonomic systems. A T-R program can recover from unexpected events without knowing the underlying source or cause of the problem and thus reduces the maintenance costs of software projects where unexpected events are a likely and frequent occurrence.
Previous work has also highlighted the difficult nature of designing and structuring the high level logic in a T-R program and so this work aims to reduce the problem by providing a software engineering strategy that will both drive the program development and reduce the occurrence of logic problems.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings: 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2010)
Additional Information: [1] Available online: 26 July 2010. [2] This paper was presented at the 2010 11th ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD 2010), held from 9-11 June 2010 at the University of Greenwich, London, United Kingdom. [3] The Conference was sponsored by the International Association for Computer & Information Science (ACIS). [4] INSPEC Accession Number: 11446801
Uncontrolled Keywords: software paradigm, autonomics, software strategy, methodology
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5532

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