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)Full text not available from this repository.
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:|| Available online: 26 July 2010.  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.  The Conference was sponsored by the International Association for Computer & Information Science (ACIS).  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
|Last Modified:||14 Oct 2016 09:14|
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