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People commonly ask What constitutes a GOOD speci cation Good is a relative term. What is GOOD to one person may be judged as POOR to someone else. Perhaps the more appropriate question is What makes a well-de ned speci cation good SEs often respond to this question with comments such as It s easy to work with, we didn t have to make too many changes to get it RIGHT, we didn t have any problems with the Acquirer at acceptance, and so on. However, some explicit characteristics make well-de ned speci cations standout as models. So let s examine two perspectives of well-written speci cations.



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Well-written speci cations share several general attributes that contribute to the speci cation s success. Standard Outline. Well-written speci cations are based on standard outline topics that are recognized by industry as best practices. The outline should cover the spectrum of stakeholder engineering topics to ensure all aspects of technical performance are addressed. We will address this topic in more detail later in this chapter. Ownership Accountability. Well-written speci cations are assigned to and owned by an individual or a team that is accountable for the implementation of the speci cation requirements, maintenance, veri cation, and nal acceptance of the deliverable system, product, or service of the speci cation. Baseline Control and Maintenance. Speci cations are baselined at a strategic staging or control points when all stakeholders are in mutual agreement with its contents. Referral For more information about event-based control points for speci cation review, approval, and release, refer to 46 System Design and Development Documentation Practices (refer to Figure 46.2) and 54 on Technical Review Practices. Once the baseline is established, speci cations are updated and veri ed through a stakeholder review agreement process (i.e., con guration control) that ensures that the document properly re ects the current consensus of stakeholder requirements.





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single-radio SMAP power consumption of 1 W The graphs show plots of solar panel size versus battery capacity for curves of constant outage probability Comparing the two geographic locations, the differences in node con guration are seen to be very large In the more temperate case (Toronto), provisioning a solar node for negligible outage (ie, < 10 4 ) requires about a 22-W solar panel, which alone would be a signi cant fraction of the total node cost In the Phoenix case the same performance can be obtained with about an 8-W panel This will obviously result in a signi cant node cost difference between the two locations For each outage probability in Figure 124, there is a continuum of feasible battery/panel combinations In this chapter we assume that the panel/battery selection is done on the basis of minimum cost.

IEEE Std 610.12-1990, 1990. IEEE Standard Glossary of Modeling and Simulation Terminology. Institute of Electrical and Electronic Engineers (IEEE) New York, NY.

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Our previous discussion introduced the System Operations Model as the foundation for identifying, organizing, and conceptualizing the capabilities of the SYSTEM OF INTEREST (SOI) The results of this exercise can be translated into System Performance Speci cation (SPS) by the Acquirer or employed by a System Developer to analyze the SPS Referral For more information about analyzing speci cations, refer to the discussion on Speci cation Analysis practices in 28 Once the SOI s capabilities are identi ed, the key question is: WHO is accountable for performing those capabilities and achieving the associated level of performance More speci cally, are they performed by the MISSION SYSTEM or SUPPORT SYSTEM or both Once we understand HOW the MISSION SYSTEM and SUPPORT SYSTEM interact, we can allocate the interactions as constraints down to each entity s system elements (PERSONNEL, EQUIPMENT, etc).

A simple cost model is developed that relates the power consumption, the target outage probability, and the overall battery and solar panel costs Using the approximate linear relationship between cost and both solar panel and battery size (which is usually the case), lines of constant cost and slope can be superimposed on Figure 124 The optimum panel and battery cost corresponds to the line that intersects the desired outage curve tangentially We now consider the minimum cost of various design options For comparison we will express these costs in Canadian dollars (CAD) using recent single unit retail costs We assume that the variable component of the cost function will be made up of the costs of the battery and the solar panel This component relies on the target outage probability, POut , and the power consumption pro le associated with the node.

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