Title :
Assistance for the design of a diagnosable component-based system
Author :
Pencolé, Yannick
Author_Institution :
Comput. Sci. Lab., Australian Nat. Univ., Canberra, ACT
Abstract :
Diagnosability of component-based systems is a property that characterises the ability to diagnose fault events given a flow of observations. In this paper, we use model-based reasoning techniques and we propose a theoretical framework to analyse diagnosability in a decentralised way. We then introduce an algorithm that performs diagnosability analyses and provides useful information for the design of a diagnosable component-based system
Keywords :
diagnostic reasoning; fault tolerant computing; object-oriented programming; program diagnostics; component-based system diagnosability; fault event diagnosis; model-based reasoning technique; Algorithm design and analysis; Artificial intelligence; Australia; Automata; Computer science; Information analysis; Knowledge representation; Laboratories; Monitoring; Performance analysis;
Conference_Titel :
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2488-5
DOI :
10.1109/ICTAI.2005.41