The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the user’s needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination so that they have the ability to combine with each other, correctly. In order to measure the combining ability of services, in the first stage, the more number of effective factors on combining features of services are surveyed in comparison with the present methods. In the second stage, metric is introduced for the effective factors, and in the third stage, an appropriate weight for each factor is found and finally, based on their relationships with each other, a more accurate rate of combining is obtained.
| Published in |
International Journal of Intelligent Information Systems (Volume 3, Issue 6-1)
This article belongs to the Special Issue Research and Practices in Information Systems and Technologies in Developing Countries |
| DOI | 10.11648/j.ijiis.s.2014030601.15 |
| Page(s) | 28-32 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Web Service, Qualitative Feature of Service, Combining, Metric
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APA Style
Aalia Hemmati, Sima Emadi. (2014). Measuring the Qualitative Feature of Combined Services. International Journal of Intelligent Information Systems, 3(6-1), 28-32. https://doi.org/10.11648/j.ijiis.s.2014030601.15
ACS Style
Aalia Hemmati; Sima Emadi. Measuring the Qualitative Feature of Combined Services. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 28-32. doi: 10.11648/j.ijiis.s.2014030601.15
AMA Style
Aalia Hemmati, Sima Emadi. Measuring the Qualitative Feature of Combined Services. Int J Intell Inf Syst. 2014;3(6-1):28-32. doi: 10.11648/j.ijiis.s.2014030601.15
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Download@article{10.11648/j.ijiis.s.2014030601.15,
author = {Aalia Hemmati and Sima Emadi},
title = {Measuring the Qualitative Feature of Combined Services},
journal = {International Journal of Intelligent Information Systems},
volume = {3},
number = {6-1},
pages = {28-32},
doi = {10.11648/j.ijiis.s.2014030601.15},
url = {https://doi.org/10.11648/j.ijiis.s.2014030601.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.15},
abstract = {The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the user’s needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination so that they have the ability to combine with each other, correctly. In order to measure the combining ability of services, in the first stage, the more number of effective factors on combining features of services are surveyed in comparison with the present methods. In the second stage, metric is introduced for the effective factors, and in the third stage, an appropriate weight for each factor is found and finally, based on their relationships with each other, a more accurate rate of combining is obtained.},
year = {2014}
}
TY - JOUR T1 - Measuring the Qualitative Feature of Combined Services AU - Aalia Hemmati AU - Sima Emadi Y1 - 2014/10/20 PY - 2014 N1 - https://doi.org/10.11648/j.ijiis.s.2014030601.15 DO - 10.11648/j.ijiis.s.2014030601.15 T2 - International Journal of Intelligent Information Systems JF - International Journal of Intelligent Information Systems JO - International Journal of Intelligent Information Systems SP - 28 EP - 32 PB - Science Publishing Group SN - 2328-7683 UR - https://doi.org/10.11648/j.ijiis.s.2014030601.15 AB - The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the user’s needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination so that they have the ability to combine with each other, correctly. In order to measure the combining ability of services, in the first stage, the more number of effective factors on combining features of services are surveyed in comparison with the present methods. In the second stage, metric is introduced for the effective factors, and in the third stage, an appropriate weight for each factor is found and finally, based on their relationships with each other, a more accurate rate of combining is obtained. VL - 3 IS - 6-1 ER -
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