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1 illustrates, when it is considered bottom-up (ie from Figure 151c to 151a), the reduction of the STSPN (Figure 151c) into a temporal arc (Figure 151a) by the successive application of the formulae of reduction [153] and [151] Note that the complexity of this algorithm of reduction is O(N), N being the cardinal of the transition set of the considered STSPN More generally, these formulae induce on the STSPNs a relation of reduction defined as follows: DEFINITION 152 A STSPN R1 is reduced into a STSPN R2 by the relation of reduction >, denoted R1>R2, if and only if there is a succession of elementary reductions (ie given by the reduction formulae) that transforms R1 into R2 This relation of reduction induces on the whole set of STSPNs a relation of temporal equivalence defined as follows: DEFINITION 15.

The lower limit is important, since S often climbs at low fm , in which case Eq (937) might produce an in nite answer if fm,min were zero However, the question asked in that case is: What is the jitter variance over an in nite time There is nothing to limit the period of observation, as there is in practice Long-term drift is included in that question In the absence of a better procedure, we might set fm,min to the reciprocal of the observation time or some fraction of that reciprocal, in order to ignore modulations that change little over an observation period An equation that gives nite results without requiring nite duration of observation is available for jitter between the output and input of a PLL that is caused by the loop s VCO noise (Egan, 2000, p 505).

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possible. Several metrics of product quality and the con dence factor, described in 9, facilitate tracking of trends and monitoring of process stabilization as well as assessment of effectiveness of processes. Level 5: Process Improvement and Practice Customization: Implementation of process improvement. Defect prevention is the focus here. This step entails defect causal analysis and process improvement by taking actions to prevent defects from recurring. The defect repository used throughout the project life cycle, combined with the reporting system, facilitates the tracking, analysis, and prevention of defects. In CMMI, the staged representation based improvement works best for those companies that need organization-wide process control and improvement. Normally, when implementing CMMI, the PAs at all lower levels have to be satis ed before moving to higher levels. The Level 2 and 3 requirements entail the most work at the project level, such as building the infrastructure, planning, executing a plan, and monitoring and controlling processes. Similarly, Level 3 has the greatest impact on organization processes because it entails the establishment of organization standards, measures, and training. This time-consuming set of tasks leaves a great deal of room for error at the lower levels of the CMMI pyramid. ADP infrastructure and automation can facilitate the process of climbing the CMMI ladder through comprehensive integration of technology into project and process management. The tables in Figure 10.7 list some of the ADP practices that can be used to facilitate the ful llment of the various PAs in the CMMI maturity levels.

Drakhlis (2001) provides a detailed study of the computation of jitter from S and comparisons to measurements using a digital storage oscilloscope (DSO) as well as discussions of measurement errors..

3 Two STSPN R1 and R2 are temporally equivalent, denoted R1 R2, if and only if R / (R1>R) (R2>R) The canonical representative of the equivalence class associated with a STSPN, relatively to , is a single temporal arc, together with its input place and output transition, as the arc (P1,t) in Figure 151a and such that R>(P1,t) Note that this temporal arc is a fixed point for the relation of reduction This temporal arc is temporally equivalent to a set of STSPNs and constitutes an abstract representation of the temporal behavior of the related nets..

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