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Shareholder analysis Tracks stock ownership, names, and amounts, through any number of available databases and resources.

The page at www.practicallynetworked.com/sharing/app_port_list.htm maintains a list of ports for popular games, messaging, multimedia, remote control, and other Internet services.

The properties you add to your classes can be read/write, read-only, or write-only, depending on how you expect the property to be used.

Another important characteristic of SPNP is the provision of a function to input values at run time, before reading the specification of the SPN These input values can be used in SPN P to modify the values of scalar parameters or the structure of the SPN itself Arrays of places and transitions and subnets are two features of SPNP that are extremely useful in specifying large structured nets A single CSPL file is sufficient to describe any legal SPN, since the user of SPNP can input at run time the number of places and transitions, the arcs among them, and any other required parameters The SPNP package allows the user to perform steady-state, transient, cumulative transient, and sensitivity analysis of SPNs.

For OCL, different semantics have been de ned, and two different semantic de nitions, based on metamodeling and set theory, are given in the OCL standard. In general, OCL has a clear and unambiguous semantics, although its semantics depends to a degree on the semantics of the notations with which it is used. The speci cation notation and semantics of OCLMessage remain incomplete: No timestamps of send or receive times are associated with the message or with the identity of the caller.

Steady-state analysis is often adequate to study the performance of a system, but time-dependent behavior (transient analysis) is sornet imes of greater interest: instantaneous availability, interval availability, and reliability (for a fault-tolerant system); response time distribution of a program (for performance evaluation of software); computation availability (for a degradable system) are some examples Sensitivity analysis is useful to estimate how the output measures are affected by variations in the value of input parameters, allowing the detection of system performance bottlenecks or aiding in design optimization Sophisticated steady-state and transient solvers are available in SPNP In addition, the user is not limited to a predefined set of measures: Detailed expressions reflecting exactly the measures sought can be easily specified The measures are defined in terms of reward rates associated with the markings of the SPN (see Section 223).

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The numerical solution methods provided in the package address the stiflness problems often encountered in reliability and performance models (see Section 5142) A number of important Petri net constructs such as marking dependency, variable cardinality arc, guards, arrays of places and transitions, subnets, and assertions facilitate the construction and debugging of models for complex systems A detailed description of SPNP and the input language CSPL can be found in [CFMT94] and [CTM89] SPNP has been installed at more than 100 sites and has been used to solve many practical problems at Digital Equipment Corporation, Hewlett Packard, Nortel and other corporations Some very powerful new features that have been added to S PN P include the capability of DES of non-Markovian nets and fluid stochastic Petri nets [CNT97] 1222 The CSPL Language.