An Ontology-Based and Model-Driven Approach for Designing IT Service Management Systems

María-Cruz Valiente, Cristina Vicente-Chicote and Daniel Rodríguez
Additional contact information
María-Cruz Valiente: University of Alcalá, Spain
Cristina Vicente-Chicote: Technical University of Cartagena, Spain
Daniel Rodríguez: University of Alcalá, Spain

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2011, vol. 2, issue 2, 65-81

Abstract: Currently, few projects applying a Model-Driven Engineering (MDE) approach start from high-level requirements models defined exclusively in terms of domain knowledge and business logic. Ontology Engineering (OE) aims to formalize and make explicit the knowledge related to a particular domain. In this vein, this paper presents a modeling approach, formalized in ontological terms, for defining high-level requirements models of software systems that provide support for the implementation of Information Technology Service Management Systems (ITSMSs). This approach allows for: (1) formalizing the knowledge associated to the ITSM processes contained in an ITSMS; (2) modeling the semantics of the activities associated to these processes in terms of workflows; (3) automatically generating the high-level requirements models of the workflow-based software systems needed to support (part of) the ITSM processes; and (4) from the latter, obtaining lower-level models (and eventually code) by means of automated model transformations. A real case study describing the use of this proposal to model an Incident Management System is also included to demonstrate the feasibility and the benefits of the proposed approach.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 18/jssmet.2011040104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:2:y:2011:i:2:p:65-81

Access Statistics for this article

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

More articles in International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) from IGI Global Scientific Publishing
Bibliographic data for series maintained by Journal Editor ().