Database-centric architecture

About: Database-centric architecture is a research topic. Over the lifetime, 1799 publications have been published within this topic receiving 48836 citations.

Refining missions to architectures in software-intensive systems-of-systems

Abstract: An important concern in the design of a software-intensive system-of-systems (SoS) is modeling both global and individual missions to be accomplished by the SoS and its cooperating constituent systems. A first step towards the concretization of mission models is their refinement into architecture descriptions in terms of the constituents able to fulfill the established missions through emergent behaviors. In this context, we introduce M2Arch, a model-based process to refine mission models into architecture descriptions. M2Arch is concerned with the automatic generation of architecture descriptions in SosADL, a formal language to describe SoS software architectures, from mission models in mKAOS, a language to model missions. M2Arch also comes with an associated tool supporting both mission modeling and architecture description as well as validation and simulation of the resulting architectures.

Data-Centric UML Profile for Wireless Sensors: Application to Smart Farming

Abstract: Modelling WSN data behaviour is relevant since it would allow to evaluate the capacity of an application for supplying the user needs, moreover, it could enable a transparent integration with different data-centric information systems. Therefore, this article proposes a data-centric UML profile for the design of wireless sensor nodes from the user point-of-view capable of representing the gathered and delivered data of the node. This profile considers different characteristics and configurations of frequency, aggregation, persistence and quality at the level of the wireless sensor nodes. Furthermore, this article validates the UML profile through a computer-aided software engineering (CASE) tool implementation and one case study, centred on the data collected by a real WSN implementation for precision agriculture and smart farming.

Structure analysis for dynamic software architecture

Abstract: The open and dynamic Internet environment greatly urges software entities that are distributed on different locations to coordinate with each other to accomplish a computing task. Software architecture is applied to abstract the software entities to be components and the coordination between them to be connectors and then a model is extracted as the architecture on which the design, analysis and verification are based. Currently, the notion of dynamic software architectures that can modify their architecture and enact modifications during the system execution has become one of the most active research areas. In this paper, we focus on the dynamic evolution of system structure other than coordination mechanisms (e.g. communication protocols). It is widely recognized that some restrictions should be imposed on the system evolution to ensure that the system structure may remain one style or transform within a scope. These conditions, to a large extent, make the system execute under control as expected.

Using Ontologies in Hybrid Software Agent Architectures

Abstract: Having the properties of autonomy, sociability and learning ability, software agents provide a better approach to the increasing complexity of both software problems and solutions and to support the decision making process. An important decision when developing a software agent is the choice of its internal architecture. Several models of deliberative and reactive architectures have already been proposed. However, approaches of hybrid software architectures that combine deliberative and reactive components, with the advantages of both behaviors, are still an open research topic. This work aims at contributing to the development of complex systems through the proposal of ontology-driven hybrid software agent architecture, by exploring automated reasoning and learning techniques. The architecture is composed of a reactive system and a deliberative one. Through a learning mechanism, the set of inference rules in the ontology of the deliberative system are transformed into reactive rules to be used by the reactive system, thus providing a more effective decision.

From software architecture to implementation with UML

Abstract: Although originally developed to describe OO design, today UML is also being used to describe software architecture. However, using the same notation for different levels of abstraction can create confusion. In this paper we illustrate some of the important differences between software architecture models and implementation models in UML.