DocumentCode :
2454813
Title :
Intelligent monitoring of software components
Author :
Moisan, Sabine
Author_Institution :
INRIA Sophia Antipolis Mediterranee, Sophia Antipolis, France
fYear :
2012
fDate :
5-5 June 2012
Firstpage :
17
Lastpage :
21
Abstract :
We propose to use Artificial Intelligence techniques to monitor and control complex processing chains of software components. We consider software systems that run in an evolving environment and thus may require adaptation at run time. Our approach relies on knowledge representations of both structural and dynamic aspects of components and processing chains. The paper concentrates more precisely on run time adaptation to cope with context changes. Run time policies are expressed by means of inference rules. At run time an inference engine uses these rules to orchestrate the component chain, in particular to achieve run time adaptations, such as component parameter tuning or re-assembly of the processing chain. We describe the general evaluation-repair mechanism which involves to evaluate environment changes and execution results and then to trigger the suitable reconfigurations.
Keywords :
artificial intelligence; inference mechanisms; knowledge representation; monitoring; object-oriented programming; artificial intelligence techniques; complex processing chains; component parameter tuning; context changes; dynamic aspect; environment changes; evolving environment; general evaluation-repair mechanism; inference engine; inference rules; intelligent monitoring; knowledge representations; processing chain reassembly; run time adaptation; run time policy; software components; software systems; structural aspect; Adaptation models; Engines; Knowledge based systems; Knowledge representation; Maintenance engineering; Monitoring; Software; knowledge representation; monitoring; run time control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Realizing Artificial Intelligence Synergies in Software Engineering (RAISE), 2012 First International Workshop on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-1752-8
Type :
conf
DOI :
10.1109/RAISE.2012.6227964
Filename :
6227964
Link To Document :
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