Variability Modeling for New Technology Choices in a Facility Management Domain
            
            PrOse 2018: Practicing Open Enterprise Modelling within OMiLAB: Proceedings of the 2nd International Workshop on Practicing Open Enterprise Modelling within OMiLAB (PrOse) co-located with 11th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2018). CEUR Workshop Proceedings. Vol.2238
            2018
            
        
                Santa Zvirbule,
        
                Mārīte Kirikova
        
    
            
            
            Today almost all activities in companies are supported by particular information systems. Emerging new technologies provide new opportunities for companies. However, the question arises, which of them and how should be combined with the existing technologies. In this paper the use of feature models is examined as the potential methodological basis for answering the question on new technology choice. The information systems in Facility Management domain are considered. The paper gives an overview of traditional and relatively new technologies used in Facility Management and shows how these technologies are organized in feature models to help to find the best options in new technology choice.
            
            
            
                Keywords
                Facility Management Technologies, Variability, Feature Model
            
            
            
                Hyperlink
                http://ceur-ws.org/Vol-2238/paper3.pdf
            
            
            Zvirbule, S., Kirikova, M. Variability Modeling for New Technology Choices in a Facility Management Domain. In: PrOse 2018: Practicing Open Enterprise Modelling within OMiLAB: Proceedings of the 2nd International Workshop on Practicing Open Enterprise Modelling within OMiLAB (PrOse) co-located with 11th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2018). CEUR Workshop Proceedings. Vol.2238, Austria, Vienna, 31-31 October, 2018. Aachen: RWTH, 2018, pp.25-36. ISSN 1613-0073.
            
                Publication language
                English (en)