SBIR-STTR Award

The design, development, testing, and maintenance of future complex combat systems will require new approaches and technologies. Present software technologies are limited by the fact that the computing system architectural layers and software components are not integrated. New software technologies are needed to adopt a more integrated view of the system architectural layers and software components of the computing system. This project proposes using a Service Oriented Architecture approach to adopt a system of systems 0x9D approach to future combat system development. Our approach will be based on open standards and will utilize new technologies that integrate system modeling, simulation, data meanings and ontologys, and measures of effectiveness with the applications, the application support environments, the operating system, the computing platform architectures, the processing nodes and network layers.

Benefit:
Among the many benefits of implementing a system of systems 0x9D approach to combat system development would be an increase in the openness and affordability of the rapid technology transitions currently embodied by the Advanced Processor Build (APB) and Tech Insertion (TI) programs. Such an approach would also greatly enhance understanding of the complex combat systems of the future by developers and system engineers which will lead to more efficient discovery of errors and vulnerabilities and improved software specification, architecture, design, implementation, and maintenance artifacts and the development processes that produce them. An SOA based approach to complex system design has far reaching applications in many information-intensive industries throughout the private sector as well as the public sector markets such as financial and investment services and medical and emergency response fields by facilitating the creation of consistent and reusable services.

Keywords:
Artificial Intelligence, Artificial Intelligence, baseline management, Data Mediation, natural language search, recommendation agents, Semantic Web, Data-mining, Machine Learning

The design, development, testing, and maintenance of future complex combat systems will require new approaches and technologies. Present software technologies are limited by the fact that the computing system architectural layers and software components are not integrated. New software technologies are needed to adopt a more integrated view of the system architectural layers and software components of the computing system. This project proposes using a Service Oriented Architecture approach to adopt a system of systems 0x9D approach to future combat system development. Our approach will be based on open standards and will utilize new technologies that integrate system modeling, simulation, data meanings and ontologies, and measures of effectiveness with the applications, the application support environments, the operating system, the computing platform architectures, the processing nodes and network layers.

Benefit:
Among the many benefits of implementing a system of systems 0x9D approach to combat system development would be an increase in the openness and affordability of the rapid technology transitions currently embodied by the Advanced Processor Build (APB) and Tech Insertion (TI) programs. Such an approach would also greatly enhance understanding of the complex combat systems of the future by developers and system engineers which will lead to more efficient discovery of errors and vulnerabilities and improved software specification, architecture, design, implementation, and maintenance artifacts and the development processes that produce them. An SOA based approach to complex system design has far reaching applications in many information-intensive industries throughout both the private sector as well as the public sector markets such as financial and investment services and medical and emergency response fields by facilitating the creation of consistent and reusable services.

Keywords:
Data Mediation, Data-mining, baseline management, microformats, recommendation agents, Artificial Intelligence, natural language search, Machine Learning, Network, Protocol, Semantic Web, soa, Web Technologies, real time