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Notice em is the field intensity of the mth element at the location of measurement. The actual amplitude and phase at the aperture can be found after dividing the data by the element pattern and the space factor. This method is very simple conceptually. The phase is measured by mixing the RF signal with a highly stable local oscillator, as in a synchronous receiver. The data are collected at a fast rate to avoid phase drift of the local oscillator. 13.9.2 Multiple-Phase Toggle Method In order to avoid the array phase measurement, the phase of the array test element is toggled in four states. The power of the array is measured with respect to the four phase states of the test element. From the measured power data, one can estimate the amplitude and phase of the test element. Suppose P0 P1 P2 , and P3 are the magnitudes of the power received from a station if the test element s phase increases by 0 , 90 , 180 , and 270 , respectively. Suppose E is the magnitude of the field intensity of the array excluding the test element and e is the magnitude of the field intensity of the test element. Suppose is the relative phase of the test element s field with respect to the resultant phase of the remaining elements. Then we can write E + e cos Simplifying, E 2 + e2 + 2eE cos = P0 (13.81)

There is also an obvious risk for pattern overload; that is, routinely using patterns without considering the problems at hand or just for the sake of using patterns Again, patterns are not solutions to all problems; a pattern should be used only for the type of problem that it is meant to address..

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One commonality between COCOMO II and ADP is that they both directly bene t from the data collected throughout the project progress Similar to COCOMO II, ADP planning is done in the initial planning phase and then in the extended planning phase COCOMO II can be integrated into ADP by using the formulas based on current information about the project By using ADP s automatic collection of project data as the project proceeds through the successive iterations and phases, the collected data can be applied to the quantitative analytic framework of COCOMO II to provide increasingly better cost and scheduling estimates In general, parametric models such as COCOMO II are the most suitable and are the best practice recommended by ADP 5104 Estimations of Using COTS and Code Reuse The prevailing use of COTS adds extra complexity to the estimation of project efforts.

While the use of COTS saves both time and effort, the time for their customization and integration with the other components of the application is hard to predict Some models use estimation techniques that are similar to code reuse to calculate their approximations If COTS is used as a black box, the function points rules can be applied for integration and functionality estimates If COTS s source code needs to be modi ed, the models relying on estimation of code reuse are more accurate The estimates for code reuse considered in most models are usually based on factors such as the percentage of the code that requires redesign, modi cations, and retesting These three factors are used to evaluate the effort as a percentage of the effort to create the code from scratch.

{returns the end time of trendline 4}

Aside from the standard ejb-jar.xml deployment descriptor file, the WebLogic 6.0 server uses an XML document called weblogic-ejb-jar.xml for its nonstandard deployment settings. Both the ejb-jar.xml and the weblogic-ejb-jar.xml documents are deployed in the META-INF directory of the EJB JAR file, as shown in Figure 10-9.

While there is not one method that ts all situations, ADP s general best practice is that COTS be distinguished from other types of development in effort estimations 5105 Quality of Estimation and the Iterative Adjustments of Estimates Although the initial estimates for the entire project effort might be based exclusively on the core requirements and a sketch of an architectural design, in iterative development, these efforts should be recalculated as the data from successive iterations is collected The estimated total project effort can be viewed as the sum of efforts for all iterations When predicting the project effort, variance should be accounted for because not all iterations are of the same length, not all team members have the same experience and skill level, and some of them might be working on multiple projects.

In the latter case, the amount of time needed to switch between projects should be added to the estimates Assuming that the project will go through n iterations, the estimated total project effort can be expressed as the sum of efforts in all iterations:.

TL_SetEnd Changes the ending point of a specified trendline. TL_SetEnd(TL_Ref, eDate, eTime, ePrice) Syntax:

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