Resumen
This article focuses on aspect-oriented programming (AOP) and model-integrated computing. An aspect-oriented approach can be beneficial at different stages of software life cycle and at various levels of abstraction. The authors have found this true in the area of domain-specific modeling. In domain-specific modeling, a design engineer describes a system by constructing a model using the terminology and concepts from a specific domain. Analysis can then be performed on the model, or the model can be synthesized into an implementation. We have proposed a solution that allows modular specifications of constraints to be propagated throughout a model via a domain-specific weaver. Domain-specific weavers rely on aspect specifications and strategies to carry out their duty. Aspect specifications, similar to pointcuts in AspectJ, are used to describe where the constraints will be applied in the model, and strategies describe how a constraint is applied in the context of a particular node in the model. An AOP-based approach to modeling and constraint utilization greatly enhances the maintainability, understandability and evolvability of domain-specific models.

Resumen
Digital signal processing systems are widely used in communication, medical, sonar, radar, equipment health monitoring and many other applications. Frequently, the signal processing system has to meet real-time requirements and provide very large throughput. For example, modern automatic target recognition systems operate with a processing throughput in excess of 10 GFLOPS per second. In real-time vibration analysis used for turbine engine testing, the aggregate sustained computation rate is also in the GFLOPS range. The high performance requires the use of computing platforms that include the combination of dedicated hardware processors and general-purpose computers, forming a hybrid parallel distributed configuration. Algorithm complexity, heterogeneity of the computing environment, and real-time operation make the software development for digital signal processing difficult and expensive. Structurally adaptive systems can address problems related to fault-tolerance, robust behavior and the need for dynamic system architectures. It is shown how to implement an adaptive system for a large-scale DSP application the CADDMAS turbine engine analysis system-where operational circumstances demand changes in structure during operation.