Authors:
Aitor Murguzur
1
;
Xabier De Carlos
1
;
Salvador Trujillo
1
and
Goiuria Sagardui
2
Affiliations:
1
IK4-Ikerlan Research Center, Spain
;
2
Mondragon University, Spain
Keyword(s):
Variability Modeling, Process Configuration, Smart Buildings.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business and Social Applications
;
Business Process Management
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Hybrid Multi-Modeling Approaches
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Society, e-Business and e-Government
;
Software Engineering
;
Symbolic Systems
;
Web Information Systems and Technologies
;
Workflow Management Systems
Abstract:
Cloud service-based applications are to be adapted to serve multiple platforms and stakeholders. Atop of such services, Smart Green Buildings are fostering a plethora of processes within their sustainability life-cycle. This introduces a number of challenges, as how to support multiple perspectives of domain-specific variability and how to deal with large collections of related process variants. To tackle this, there is a need to handle multiperspective variability for processes. This paper introduces an approach to manage multi-perspective process variability by means of a meta-model and a modeling methodology, representing separately people and things variability perspectives in smart environments. Initial experimental results are also described, which indicate encouraging results for managing highly complex variability models.