Systems Engineering – Requirements Engineering With DEVSME- M220
This two and one half -day course is designed for engineers, managers and educators who wish to enhance their capabilities to capture needs and requirements in a standardized, interoperable format that allows immediate dynamic visualization of workflows and relationships. One of the most serious issues of modern systems engineering is capturing requirements in an unambiguous, interoperable language that is structured in terms of input, output, timing and coupling to other requirements. The DEVS Modeling Environment (DEVSME) uses a restricted natural language that is easy to use, but powerful enough to express complex mathematical, logical and process functions in such a way that other engineers and stakeholders will understand the intent as well as the behavior of the requirement.
The course covers the basics of systems concepts and discrete event systems specification (DEVS), a computational basis for system theory. It demonstrates the application of DEVS to “virtual build and test” requirements engineering in complex information-intensive systems development. The DEVSME Requirements Engineering Environment leverages the power of the DEVS modeling and simulation methodology. A particular focus is the application of model-based data engineering in today’s data rich – and information challenged – system environments.
What you will learn:
- Overview of IEEE and CMMI approaches to requirements engineering
- Basic concepts of Discrete Event System Specification (DEVS) and how to apply them using DEVS Modeling Environment.
- How to understand and develop requirements and then simulate them with both Discrete and Continuous temporal behaviors.
- System of Systems Concepts, Interoperability, service orientation, and data-centricity within a modeling and simulation framework.
- Integrated System Development and virtual testing with applications to service oriented and data-distribution architectures.From this course you will obtain the understanding of how to leverage collaborative modeling and simulation to develop requirements and analyze complex information-intensive systems engineering problems within an integrated requirements development and testing process.
- Introduction to the Requirements Engineering Process.
- Introduction to Discrete Event System Specification. (DEVS)–System-Theory Basis and Concepts, Levels of System Specification, System Specifications: Continuous and Discrete.
- Framework for Modeling and Simulation Based Requirements Engineering. DEVS Simulation Algorithms, DEVS Modeling and Simulation Environments.
- DEVS Model Development. Constrained natural language DEVS-based model construction, System Entity Structure – coupling and hierarchical construction, Verification and Visualization
- DEVS Hybrid Discrete and Continuous Modeling and Simulation. Introduction to simulation with DEVSJava/ADEVS Hybrid software, Capturing stakeholder requirements for space systems communication and service architectures.
- Interoperability and Reuse. System of Systems Concepts, Component-based systems, modularity, Levels of Interoperability (syntactic, semantic, and pragmatic). Service Oriented Architecture, Data Distribution Service standards.
- Integrated System Requirements Development and Visualization/Testing. Using DEVS Modeling Environment (DEVSME) – Requirements capture in an unambiguous, interoperable language, structured in terms of input, output, timing and coupling to other requirements, Automated DEVS-based Test Case Generation, Net-Enabled System Testing – Measures of Performance/Effectiveness.
- Cutting Edge Concepts and Tools. Model and Simulation-based data engineering for interest-based collection and distribution of massive data. Capturing requirements for IT systems implementing such concepts. Software/Hardware implementations based on DEVS-Chip hardware.
This course is not on the current schedule of open enrollment courses. If you are interested in attending this or another course as open enrollment, please contact us at (410) 956-8805 or at firstname.lastname@example.org indicate the course name and number of students who wish to participate. ATI typically schedules open enrollment courses with a lead time of 3-5 months. Group courses can be presented at your facility at any time. For on-site pricing, request an on-site quote. You may also call us at (410) 956-8805 or email us at email@example.com.
Bernard P. Zeigler is chief scientist for RTSync, Zeigler has been chief architect for simulation-based automated testing of net-centric IT systems with DoD’s Joint Interoperability Test Command as well as for automated model composition for the Department of Homeland Security. He is internationally known for his foundational text Theory of Modeling and Simulation, second edition (Academic Press, 2000), He was named Fellow of the IEEE in recognition of his contributions to the theory of discrete event simulation.
Phillip Hammonds is a senior scientist for RTSync, He co-authored (with Professor Zeigler). the 2007 book, “Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange”. Elsevier Press. He has worked as a technical director and program manager for several large DoD contractors where skilled requirements and data engineering were critical to project success.
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