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Table 33.5 Requirements management tool RVM report Requirements ID SYS_136 Requirements Statement N/A 3.1.1 Capability A The system shall perform (Capability A), which consists of the capabilities speci ed in the subparagraphs below: 3.1.1.1 Capability A1 The system shall (Capability A1) . . . 3.1.1.2 Capability A2 The system shall (Capability A2) . . . 3.1.1.3 Capability A3 The system shall (Capability A3) . . . 3.1.1.4 Capability A4 The system shall (Capability A4) . . . Method of Veri cation Inspect X Analysis Demo Test

SYS_137 SYS_138 SYS_139 SYS_140



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The watchdog packet overhears the responses of the neighboring beacon nodes It then determines its location using the reported location of each BN in turn, and then it compares the value against its true location If the difference is within a certain margin of error, then the corresponding BN is considered benign, and its reputation increases If the difference is greater than the margin of error, then that BN is considered malicious and its reputation is decreased From a sensor node perspective, there is no rsthand information gathered by sensor nodes through direct observations They rely completely on the second-hand information passed to them from nearby beacon nodes during the location request stage..

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and outside of IT IT Finance is often just another stovepipe within a stovepipe Reporting the cost of service without including the results of the service is an example of a stovepipe telling only part of the story, one section playing in isolation Conversely, reporting service results without the corresponding cost and value is also only part of the story No single stovepipe can reveal the sum of the parts of IT To understand why, let s extend the symphony analogy to help cut through the abstractness and complexity that is IT Because symphony orchestras are not created equal, consider the situation of a poorly conducted, overburdened, large city, symphony orchestra Due to budget constraints, the symphony has to settle for young, inexperienced musicians to replace departing musicians To compensate for their shortcomings and develop these new musicians, the orchestra consumes most of its rehearsal time training and correcting mistakes.

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and leverage your own ability and time. You can convince yourself to believe you cannot afford the tool. However, the capabilities and productivity of your personnel and organization will pay dividends, especially for large, complex system development efforts. Veri cation Level. We like to think that simply identifying veri cation methods for a requirement is suf cient. However, some requirements may not be veri able at every entity or CI level. Consider the following example:

DRBTS also includes a method by which BNs can send out location requests disguised as SNs, in case of low network activity. However, unlike CONFIDANT, DRBTS does not differentiate rst-hand information into personal experience and direct observation. Information Sharing. DRBTS does make use of second-hand information to update the reputation of its neighboring nodes. However, information sharing is only with respect to BNs. SNs do not share any information since they do not collect any by virtue of their own observation of their neighborhood. In DRBTS, nodes are allowed to share both positive and negative reputation information. This is allowed to ensure a quick learning time. Information Modeling. Let BN j respond to a SN s request. Then BN i, in the range of j updates its reputation entry of j using the direct observation as follows. RNew = 1 RCurrent + (1 1 ) ki ki (13.5)

You are assigned a task to create SUBSYSTEM A Development Speci cation. Ideally, you would like to verify SUBSYSTEM A as a work product. There may be cases whereby it is impractical to complete veri cation of SUBSYSTEM A as a work product until it is integrated into the higher level SYSTEM. For example, it may be impractical to stimulate one of SUBSYSTEM A s interfaces during veri cation tests at the SUBSYSTEM level. As a result, you may want to indicate in the RVM, for internal record keeping, the level of abstraction at which veri cation of a speci c requirement will be accomplished. Table 33.6 provides a tabular illustration.

As illustrated in Table 33.6, requirement 3.1.1.1 will be veri ed at the SUBSYSTEM level. Requirement 3.1.1.4, which requires SUBSYSTEM A to be integrated with SUBSYSTEM B, will be veri ed at the SYSTEM level. Thus, the veri cation of requirement 3.1.1 cannot be completed until the 3.1.1.4 TEST method is performed at SYSTEM level integration.

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