Multifaceted Service Identification: Process, Requirement and Data

Mohammad Javad Amiri1, Saeed Parsa2 and Amir Mohammadzade Lajevardi3

  1. Ph.D. Student, University of California Santa Barbara
    Santa Barbara, CA, 93106
    amiri@cs.ucsb.edu
  2. Associate Professor, Software Engineering Group, Iran University of Science and Technology
    School of Computer Engineering
    parsa@iust.ac.ir
  3. Ph.D. Student, Software Engineering Group, Sharif University of Technology
    School of Computer Engineering
    Lajevardi@ce.sharif.edu

Abstract

Service Identification is one of the most important phases in serviceoriented development methodologies. Although several service identification methods tried to identify services automatically or semi-automatically, various aspects of business domain are not taken into account simultaneously. To overcome this issue, three strategies from three different aspects of business domain are combined for semi-automated identification of services in this article. At first, the tasks interconnections within the business processes are considered. Then, based on the common supporting requirements, another tasks dependency has been determined and finally, regarding the significant impact of data in business domain, the last tasks relations are specified. To combine these three strategies, task-task matrices are used as a common language and eventually services are identified by clustering the final task-task matrix.

Key words

Service Identification, Business Process Model, Goals Model, Task-Task Matrix, Clustering

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS151105011A

Publication information

Volume 13, Issue 2 (June 2016)
Year of Publication: 2016
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Amiri, M. J., Parsa, S., Lajevardi, A. M.: Multifaceted Service Identification: Process, Requirement and Data. Computer Science and Information Systems, Vol. 13, No. 2, 335–358. (2016)