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- W929128830 abstract "We propose a new approach for modeling and classification of service behaviors.The approach is meant to improve services selection based on their behaviors.We provide the specification of five behavioral patterns for services.We leverage rough set theory to do the classification of services.We provide a comparative study with existing rule-based classification algorithms. With the drastic increase in the number of services, there is an urgent need to devise techniques that facilitate services selection. The behavior of a service is a key factor in such selection. One of the major challenges in this regard is to be able to model and recognize such behavior, especially when the service is a black box (i.e. no architectural details are provided). In this paper, we propose a new approach for modeling and classification of service behaviors. The proposed approach captures service performance through some predefined behavioral patterns. Each pattern is a typical sequence of observations in which an observation denotes the quality of a service for one interaction. We then follow a rough set based approach for the classification of services into different patterns. To show the applicability of the proposed approach, a comparative study with existing rule-based classification algorithms is provided." @default.
- W929128830 created "2016-06-24" @default.
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- W929128830 date "2015-11-01" @default.
- W929128830 modified "2023-09-27" @default.
- W929128830 title "Modeling and classification of service behaviors" @default.
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- W929128830 doi "https://doi.org/10.1016/j.eswa.2015.05.052" @default.
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