Affiliations 

  • 1 Department of Computer Science, Faculty of Computer Study, International Universiti of Africa (IUA), Khartoum, Sudan; Department of Software Engineering, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, Johor, Malaysia
  • 2 Department of Software Engineering, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, Johor, Malaysia
  • 3 Science and Technology Unit, Umm Al-Qura University, Makkah, Saudi Arabia
PLoS One, 2015;10(4):e0123086.
PMID: 25928358 DOI: 10.1371/journal.pone.0123086

Abstract

The composite service design modeling is an essential process of the service-oriented software development life cycle, where the candidate services, composite services, operations and their dependencies are required to be identified and specified before their design. However, a systematic service-oriented design modeling method for composite services is still in its infancy as most of the existing approaches provide the modeling of atomic services only. For these reasons, a new method (ComSDM) is proposed in this work for modeling the concept of service-oriented design to increase the reusability and decrease the complexity of system while keeping the service composition considerations in mind. Furthermore, the ComSDM method provides the mathematical representation of the components of service-oriented design using the graph-based theoryto facilitate the design quality measurement. To demonstrate that the ComSDM method is also suitable for composite service design modeling of distributed embedded real-time systems along with enterprise software development, it is implemented in the case study of a smart home. The results of the case study not only check the applicability of ComSDM, but can also be used to validate the complexity and reusability of ComSDM. This also guides the future research towards the design quality measurement such as using the ComSDM method to measure the quality of composite service design in service-oriented software system.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.