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Requirements metrics. Requirements metrics show the number of features that have been implemented and tested. They also show how many features remain unimplemented. The number of features implemented and successfully closed (tested and approved) per iteration is an indicator of the project velocity if the features require approximately the same effort. Once normalized over features efforts, this number can be used to estimate times of future project iterations. Code metrics. Code change and size metrics show the amount of code deleted, modi ed, and added to the code base and the change in the total size of code. These metrics can help in making projections of the amount of work left if the estimates are based on SLOC of the nal product. Test metrics. Test metrics show the percentage of passed, failed, and incomplete test cases for all unit and integration test runs. These metrics are used during extended planning to make decisions about how much effort must be put into testing activities for the current iteration. Defect metrics. Defect metrics show the number of reported bugs for the current iteration as well as the number of previously xed bugs. These metrics can be used to estimate the time needed for debugging. Since not all bugs are equal, the estimate of the debugging time might require normalization depending on defect type.

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This can mean uncertainty regarding size of bribes and nancial and time costs of getting things done abroad can be larger Serrat (2001) develops a two-country exchange economy dynamic equilibrium model to attribute the home bias to the role of nontraded goods He shows that risk-adjusted expected growth rates of home and foreign endowments of tradable and nontradable goods are relevant Since the mean and variance of home and foreign endowments of tradables need not be constant, hedging demands causing home bias become less important in their dynamic setting with intertemporal substitution In corrupt countries the hedging motive is likely to retain the home bias if the variance of home endowments is larger Corruption cannot fully explain both home bias and its asymmetry Institutional explanations of the home bias do not apply symmetrically for investors in rich and poor countries.

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Perceptions and motivations can be notoriously dif cult to pin down; it takes a lot of time and effort to get a deep understanding of customers. Like Google Analytics, voice-of-the-customer research is an iterative process whereby you form a hypothesis about why your customers behave a certain way and

With lower corruption and better legal and insurance protections for small investors in rich countries, the investors in poor countries are not as reluctant to invest abroad; namely they are less subject to home bias It is better to think of the home bias puzzle not as something to be solved but as a pedagogical device to learn economic behavior A similar use of six consumption puzzles is advocated in Vinod s (1996) appendix The useful insight from the home bias puzzle is summarized as follows: Other things remaining the same, all investors in different countries will be generally better off in terms of diversi cation and hedging if they invest a large proportion of their wealth in foreign assets In practice, investors exhibit home bias Various theoretical generalizations of the model and institutional barriers partially explain the home bias.

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8.6.1 Focus on Defect Tracking Reports The reporting system should generate graphs illustrating the number of reported defects that are xed, are currently being xed (in progress), or are unresolved, as shown in Figure 8.11. As the iteration nears its completion, the

Local minimum 3 Log-sigmoid transfer function 180 M Mary Had a Little Lamb 67 Master-slave algorithm 138 Mating 41, 56, 197 MATLAB 211 Messy GA 136 Metagenetic algorithm 129 Migration rate 139 Minimum-seeking algorithms 5 (m + l) evolution strategy 199 (m,l) evolution strategy 199 Multi-objective GA 100 Multiple objective optimization 97 Music 67 Mutation 43, 60, 121, 198 N Natural optimization 18, 54 Natural selection 19, 36 Nelder-Mead downhill simplex algorithm 10, 102, 181 Newton s method 15 No free lunch theorem 187 Nondominated sorting GA 100 Normalized cost 40 Normalized variables 54 O Objective function 30 Off-line performance 128 Offspring 42, 115 On-line performance 128 Optimization 2 Optimum mutation rate131 Optimum population size 131 Order crossover (OX) 125 P Pairing 38, 56 Panmictic GA 139 Parallel GA 137 Parallel GA advantages 137 Parameter control 135 Pareto front 98 Pareto GA 99 Pareto GA owchart 102

However, the bias against investment in poor and corrupt countries is justi ably stronger than the bias against investing in rich and less corrupt countries due to the downside potential of corruption Another institutional explanation for home bias comes from policy decisions by central banks of developing countries From the viewpoint of the developing country, it is desirable to let as much of the domestic savings fund.

7 High Level Petri Nets Claude GIRAULT and Jean-Fran ois PRADAT-PEYRE 71 Introduction 72 Informal introduction to high level nets 721 A client-server model 722 Client distinction 723 Server distinction 724 Equivalent unfolded net 725 Colored model for the alternate bit protocol 73 Colored net definition 731 Notation 732 The formalismof colored nets 733 Unfolding of a colored net 74 Well-formed net definition 741 Color domains 742 Color functions 743 Guards 744 The formalismofwell-formed nets 745 Regular nets and ordered nets ..