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SE Process Model A construct derived from a highly iterative, problem solving-solution development methodology that can be applied recursively to multiple levels of system design Solution Domain A requirements, operations, behavioral, or physical viewpoint of the development of a multi-level entity or con guration item (CI) required to translate and elaborate a set of User requirements into a deliverable system, product, or service..

The objective of the SE Process Model is enable SEs to transform and evolve a User s abstract operational need(s) into a physical system design solution that represents the optimal balance of technical, technology, cost, schedule, and support solutions and risks.

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Although bioinformatics is an information-rich discipline, being based on the storage of experimental results, database technologies have often been adopted more slowly in bioinformatics than in commercial applications There are a number of reasons for this For example, updates to bioinformatics sources, although ongoing, generally involve additions to data sets rather than modifications to existing data, and most programs that use bioinformatics information sources are read-only This means that database facilities, such as effective concurrency control, seem less central to bioinformatics applications than some others However, it is clear that an important impediment to the adoption of the relational model in bioinformatics has been the fact that biological data is often more cumbersome to model using relational structures than using some alternative approaches.

Since World War II several types of SE processes have evolved. Organizations such as the US Department of Defense (DoD), the Institute of Electrical and Electronic Engineers (IEEE), Electronics Industries Alliance (EIA), and the International Council of System Engineers (INCOSE) have documented a series of SE process methodologies. The more recent publications include US Army FM 770-78, Mil-Std-499, commercial standards IEEE 1220-1998, EIA-632 and ISO/IEC 15288. Each of these SE process methodologies highlights the aspects its developers considered fundamental to engineering practice. Although the SE processes noted above advanced the state of the practice in SE, in the author s opinion, no single SE process captures the actual steps performed in engineering a system, product, or service. As is the case with a recipe, SEs and organizations often formulate their own variations of how they view the SE process based on what works for them. This chapter introduces an SE Process Model validated through the experiences of the author and others. Note the two terms: process and model. In this chapter s Introduction, we considered a general work ow progression that translates a User s abstract operational needs into a physical system, product, or service solution. We can state this progression to be a process. However, the work ow process steps required to engineer systems must involve highly iterative feedback loops to preceding steps for reconciliation actions. The SE Process is more than simply a sequential end-to-end process. The SE Process is an embedded element of a problem-solving/solution-development model that transforms a set of inputs and operating constraints into a deliverable system, product, or service. Therefore, we apply the label SE Process Model.

CIM categorizes managed elements into two main types: logical and physical elements. Physical elements occupy space and conform to the elementary laws of physics. The physical-element class represents any component of a system that has a physical identity; it can be touched or seen. Logical elements represent abstractions used to manage, configure, and coordinate aspects of the physical or software environment. Logical elements typically represent systems themselves, system components, system capabilities, and software.

Entry criteria for the SE process are established by the system/product life cycle phase that implements the SE Process. In the case of the System Development Phase, the SE Process Model is applied with the initiation of each entity or con guration item (CI s) SE design. This includes the SYSTEM, PRODUCT, SUBSYSTEM, ASSEMBLY, SUBASSEMBLY, and PART levels.

We concluded Part I with an introduction to the system solution domains, consisting of Requirements, Operations, Behavioral, and Physical Domain Solutions. Although the domain solutions provide a useful means to characterize a system or one of its entities, individually, they do not help us create the total system solution. So, how do we do this We can solve this challenge by creating a system development model that enables us to translate the User s vision into a preferred solution. However, the domain solutions are missing two key elements: 1. Understanding the opportunity/problem space and the relationship of the solution space. 2. Optimizing the domain solutions to achieve mission objectives.

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