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A Systematic Approach for Mining Quality of Services: A methodology and a case study

Published: 18 April 2022 Publication History

Abstract

Web services are used to provide different software functionalities to Web service users. Web services can be further classified according to their quality. Mining and visualizing quality attributes could help Web service selectors to find the appropriate Web service based on visual figures representing the quality instead of looking at different values and numbers. Moreover, it provides stakeholders in the service computing domain a comprehensive view of the Quality of Service (QoS) performance of a group of Web services. This research proposes a systematic methodology for mining Web services' qualities. It studies the aspects of using clustering regarding Web service quality. A case study was conducted using K-mean clustering to divide a Web services pool based on quality criteria into subgroups.

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  1. A Systematic Approach for Mining Quality of Services: A methodology and a case study

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    ASSE' 22: 2022 3rd Asia Service Sciences and Software Engineering Conference
    February 2022
    202 pages
    ISBN:9781450387453
    DOI:10.1145/3523181
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 18 April 2022

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    Author Tags

    1. Clustering
    2. QoS
    3. Software Mining
    4. Software Visualization
    5. Web Service

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