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), 2014. Published by Science Publishing Group |
Web Service, Qualitative Feature of Service, Combining, Metric
| [1] | Q. Yu, M. Rege, A. Bouguettaya,B. Medjahed, M. Quzzani , A Two-Phase Framework For Quality-Aware Web Service Selection, Service Oriented Computing and Applications Journal, Vol 4, No.2, pp. 63-79, 2010. |
| [2] | S. Choi, S. Jin Sun and S. D. Kim, QoS Metrics for Evaluating Services from the Perspective of Service Providers, in IEEE International Conference, e-Business Engineering, ICEBE, pp. 622-625, 2007. |
| [3] | J. Fang, S. Hu and Y. Han, A Service Interoperability Assessment Model for Service Composition, in Proceedings of the 2004 IEEE International Conference on Services Computing, IEEE Computer Society, pp. 153-158, 2004. |
| [4] | R. Sindhgatta, B. Sengupta and K. Ponnalagu, Measuring the Quality of Service Oriented Design, in Proceedings of the 7th International Joint Conference on Service-Oriented Computing, Springer-Verlag: Stockholm, pp. 485-499, 2009. |
| [5] | S. Choi and S. Kim, A Quality Model for Evaluating Reusability of services in SOA, 10th IEEE Conference on E-commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and EServices,2008. |
| [6] | B. Shim, S. Choue, S. Kim and S .Park, A Design Quality Model for Service Oriented Architecture, 15th Asia Pacific Software Engineering Conference, pp.403-410, 2008. |
| [7] | G. Feuerlicht, Design of Composable Services, in Service-Oriented Computing, ICSOC Workshops, 2009. |
| [8] | N.M. josuttis, SOA in practice the Art of distributed system design, oreilly: united states. pp. 35-46, 2007. |
| [9] | Z. Rokni, “ choosing the service in service-based architecture based on qualitative features” MA thesis, Shahid Beheshti university, 2011 |
| [10] | A. Kazemi, “logical phase application in selection, evaluation and combination of services in service-based architecture”, MA seminar, Shahid Beheshti university, 2010. |
| [11] | A. Rostam Pour, “surveying the methods of service evaluation in service-based architecture”, MA thesis, Shahid Beheshti university, spring 2010. |
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
Share This Article
Twitter
Linked In
Facebook
Copy
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 -
Email: