DocumentCode :
1998841
Title :
A Self-Healing Approach for Object-Oriented Applications
Author :
Haydarlou, A.R. ; Overeinder, B.J. ; Brazier, F.M.T.
Author_Institution :
Dept. of Comput. Sci., Vrije Univ., Amsterdam
fYear :
2005
fDate :
26-26 Aug. 2005
Firstpage :
191
Lastpage :
195
Abstract :
In this paper, we present our approach and architecture for fault diagnosis and self-healing of interpreted object-oriented applications. By combining aspect-oriented programming, program analysis, artificial intelligence, and machine learning techniques, we advocate that our approach can heal a significant number of failures of real interpreted object-oriented applications
Keywords :
fault diagnosis; learning (artificial intelligence); object-oriented methods; object-oriented programming; program diagnostics; software fault tolerance; artificial intelligence; aspect-oriented programming; fault diagnosis; machine learning technique; object-oriented applications; program analysis; self-healing approach; Application software; Artificial intelligence; Dynamic programming; Failure analysis; Humans; Instruments; Intelligent sensors; Machine learning; Object oriented modeling; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
Conference_Location :
Copenhagen
ISSN :
1529-4188
Print_ISBN :
0-7695-2424-9
Type :
conf
DOI :
10.1109/DEXA.2005.30
Filename :
1508271
Link To Document :
بازگشت