Abstract
Using models of Component-based self-adaptive applications in building and adapting Interactive Applications make them cost-effective and flexible. They achieve flexibility by clearly separating the Roles, the abstract description of components, constituting the alternative Configurations from their fulfilling. However, a challenge for the Role-Based Interactive Applications is the Roles useful/useless problem. This happens when the Roles, constituting the Running Configuration, are indirectly engaged in achieving the user goals, in a way different than what it is expected at the design stage. Consequently, the Roles are unintentionally preferred from one another and it constitutes what we call the User’s Role Unintentional Preference. Thus, it causes a Role-Fulfiller Quality Distribution defect. Within this paper, we propose a method to dynamically handle a Role-Fulfiller Quality Adapting of Role-Based Interactive Applications. The Role-Fulfiller Quality Adapting is achieved by an adapting engine that integrate a Roles-Fulfillers Selector which is modelled as a Multi-Objective Problem. To deal with the selection Combinatorial Explosion we use Genetic Algorithms.
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Boulehouache, S., Maamri, R., Sahnoun, Z. (2012). Quality Adapting of Role-Based Interactive Applications. In: Benlamri, R. (eds) Networked Digital Technologies. NDT 2012. Communications in Computer and Information Science, vol 294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30567-2_35
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DOI: https://doi.org/10.1007/978-3-642-30567-2_35
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