A GENERIC SOLUTION FOR THE CONSTRUCTION OF DIAGNOSTIC EXPERT SYSTEMS BASED ON PRODUCT LINES
Ma Eugenia Cabello Espinosa, Isidro Ramos Salavert
2008
Abstract
This paper presents a generic solution for the construction of diagnostic expert systems using aspect-oriented-software architectures and product line techniques. The approach is shown by specifying a case study using CIMs, and automatically generating a PIM. The case study presented is a medical diagnosis system for the detection of infantile infectious diseases. PRISMA models are used as PIMs. We follow the Model Driven Architecture (MDA) initiative of the Object Management Group (OMG) for building domain models (CIMs), which are automatically transformed into PIMs and are then compiled to a .NET executable application (PSM). The Software Product Line techniques have been used to capture the variability of systems of this kind.
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in Harvard Style
Eugenia Cabello Espinosa M. and Ramos Salavert I. (2008). A GENERIC SOLUTION FOR THE CONSTRUCTION OF DIAGNOSTIC EXPERT SYSTEMS BASED ON PRODUCT LINES . In Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 237-246. DOI: 10.5220/0001038202370246
in Bibtex Style
@conference{healthinf08,
author={Ma Eugenia Cabello Espinosa and Isidro Ramos Salavert},
title={A GENERIC SOLUTION FOR THE CONSTRUCTION OF DIAGNOSTIC EXPERT SYSTEMS BASED ON PRODUCT LINES},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={237-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001038202370246},
isbn={978-989-8111-16-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the First International Conference on Health Informatics - Volume 2: HEALTHINF, (BIOSTEC 2008)
TI - A GENERIC SOLUTION FOR THE CONSTRUCTION OF DIAGNOSTIC EXPERT SYSTEMS BASED ON PRODUCT LINES
SN - 978-989-8111-16-6
AU - Eugenia Cabello Espinosa M.
AU - Ramos Salavert I.
PY - 2008
SP - 237
EP - 246
DO - 10.5220/0001038202370246