Quality of Experience: What End-Users Say about Web Services?

Abstract

Web service composition enables seamless and dynamic integration of web services. The behavior of participant web services determines the overall performance of a composition. Therefore, it is important to choose the high quality participants for service composition. The state of the art in service discovery and selection rely on non-functional aspects also known as quality of service (QoS) e.g., response time and availability. Though these parameters are crucial for selecting web services, they do not reflect the end-user's perspective on quality. In this paper, we explore the feasibility of adopting the perceived quality from end-user's perspective for service selection and composition. We name such quality parameters as quality of experience (QoE). First, we propose a solution that automatically mines and identifies QoE parameters from the web. Second, we study the application of such dynamically extracted QoE attributes for service selection. For the evaluation purpose, we collected more than 24,000 reviews from 22 different services from four domains. Our result shows the automated approach identifies QoE attributes with an average precision and recall 90% and 79% respectively. Our study shows that there is a strong positive correlation between QoS and QoE. Hence QoE can be used during service selection especially when QoS data are not available.

Developing a Quality of Experience (QoE) model for Web Applications

“…First, to provide a benchmark in relation to the state-of-art, the correlation between the overall score of KPIs and KQIs was examined based on the assumption that a strong positive correlation indicates an excellent relationship between the objective and subjective factors (Upadhyaya, Zou, Keivanloo, & Ng, 2014)-examining the relationship between service quality and user satisfaction. First, to provide a benchmark in relation to the state-of-art, the correlation between the overall score of KPIs and KQIs was examined based on the assumption that a strong positive correlation indicates an excellent relationship between the objective and subjective factors (Upadhyaya, Zou, Keivanloo, & Ng, 2014)-examining the relationship between service quality and user satisfaction.…”

“…Building upon the above inputs, the instantiation of the QoEWA was tested in 2 ways. First, to provide a benchmark in relation to the state-of-art, the correlation between the overall score of KPIs and KQIs was examined based on the assumption that a strong positive correlation indicates an excellent relationship between the objective and subjective factors (Upadhyaya, Zou, Keivanloo, & Ng, 2014) For the first test, Table 4 summarises the R squared value of each factor (F1-F11). The result shows that there is a strong positive correlation between the objective and subjective factors, ranged between R 2 = 88 and R 2 = 97.…”

Research on Probabilistic Optimization to Dynamic Composition for Service Replacement

“…However, before selecting planning strategies, it should remove services that the corresponding planning does not satisfy the limitations of user preferences [15]. …”

“…It is no guarantee that a service can always be executed correctly, which should adapt and react to changings from time to time. The feasible way to handle the failed service is service replacement [9][10][11][12][13][14][15][16][17][18][19][20], including one-to-one mode and one-to-more mode. The one-to-one mode replacement substitutes the failed service with a new service selected from service repository, using backups predefined in configuration files.…”

A Survey Paper on Extraction of Web Services for Effective User Review Sentiment Analysis

“…In [39], Quality of Experience (QoE) parameters were extracted from analyzing user reviews. It uses POS tagging to identify frequent nouns in reviews as potential QoE features.…”