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