Reliability Prediction Approach for Multi-Agent Systems

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DC Field	Value	Language
dc.contributor.author	Gueddouche, Roumaissa	-
dc.date.accessioned	2022-03-08T07:59:53Z	-
dc.date.available	2022-03-08T07:59:53Z	-
dc.date.issued	2019	-
dc.identifier.uri	http//localhost:8080/jspui/handle/123456789/1830	-
dc.description.abstract	The software’s are created to implement the needs of the customer in reality, and this raises the need to measure the applicability and accuracy of the software. Software reliability engineering is based on models and measurements that quantify the software reliability. In our thesis, we have proposed a reliability prediction method of Multi agent systems integrating metrics depending on the agent's behavior and MAS characteristics. For the development of our approach we used machine learning regression algorithm that is based on finding the correlation between the proposed metrics in order to predict the agent’s reliability.	en_US
dc.description.sponsorship	Y.Menassel	en_US
dc.language.iso	en	en_US
dc.publisher	Larbi Tbessi University – Tebessa	en_US
dc.subject	SRE, Reliability, MAS, Machine Learning	en_US
dc.subject	SRE, fiabilité, SMA, apprentissage automatique	en_US
dc.title	Reliability Prediction Approach for Multi-Agent Systems	en_US
dc.type	Thesis	en_US
Appears in Collections:	3- إعلام آلي

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