2013 IEEE 20th International Conference on Web Services 2013
DOI: 10.1109/icws.2013.83
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Evaluating Quality of Web Services: A Short Survey

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Cited by 14 publications
(12 citation statements)
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“…The QoS is usually defined as a set of attributes or parameters, such as the response time, availability or reliability corresponding to a given Web service. [Kondratyeva et al, 2013] reviewed the works published on QoS evaluation for Web service and proposed a model based evaluation of QoS to evaluate the quality of Web services. They used weighted Finite State Machine (FSM).…”
Section: Research On Web Servicesmentioning
confidence: 99%
“…The QoS is usually defined as a set of attributes or parameters, such as the response time, availability or reliability corresponding to a given Web service. [Kondratyeva et al, 2013] reviewed the works published on QoS evaluation for Web service and proposed a model based evaluation of QoS to evaluate the quality of Web services. They used weighted Finite State Machine (FSM).…”
Section: Research On Web Servicesmentioning
confidence: 99%
“…In most papers, the extracted finite state models are used for automatic composition of services (Beek, Bucchiarone, & Gnesi, 2006) or testing and verification purposes (TienDung, Felix, & Castanet, 2010;Honghao & Ying, 2011). As mentioned in (Héam, Kouchnarenko, & Voinot, 2010;Kondratyeva, et al, 2013b), finite state models can also be helpful for more precise quality evaluation.…”
Section: Deriving a Formal Specificationmentioning
confidence: 99%
“…Therefore, self-adaptive models that can be trained are promising for user experience evaluation. Some of self-adapting models can be considered as finite state models and almost all of them rely on pre-/post conditions that can be expressed in terms of IF-THEN operator such as "if the service works fast I am rather happy with this service" (Kondratyeva et al, 2013b). Artificial intelligence techniques, such as fuzzy logic and neural networks seem to be promising for establishing correspondence between measured objective quality parameters and user satisfaction grades.…”
Section: State Model Based Qoe Evaluationmentioning
confidence: 99%
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