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Now everything compiles I run my tests, such as the one below, to see that everything still works: public class CapitalCalculationTests extends TestCase { public void testTermLoanSamePayments() { Date start = november(20, 2003); Date maturity = november(20, 2006); Loan termLoan = LoannewTermLoan(LOAN_AMOUNT, start, maturity, HIGH_RISK_RATING); termLoanpayment(100000, november(20, 2004)); termLoanpayment(100000, november(20, 2005)); termLoanpayment(100000, november(20, 2006)); assertEquals("duration", 20, termLoanduration(), TWO_DIGIT_PRECISION); assertEquals("capital", 21000, termLoancapital(), TWO_DIGIT_PRECISION); }

All the tests pass I can now focus on moving more functionality related to the capital calculation from Loan to CapitalStrategy I will spare you the details; they are similar to what I've already shown When I'm done, CapitalStrategy now looks like this: public class CapitalStrategy { private static final int MILLIS_PER_DAY = 86400000; private static final int DAYS_PER_YEAR = 365; public double capital(Loan loan) { if (loangetExpiry() == null && loangetMaturity() != null) return loangetCommitment() * loanduration() * riskFactorFor(loan); if (loangetExpiry() != null && loangetMaturity() == null) { if (loangetUnusedPercentage() != 10) return loangetCommitment() * loangetUnusedPercentage() * loanduration() * riskFactorFor(loan); else return (loanoutstandingRiskAmount() * loanduration() * riskFactorFor(loan)) + (loanunusedRiskAmount() * loanduration() * unusedRiskFactorFor(loan)); } return 00; } private double riskFactorFor(Loan loan) { return RiskFactorgetFactors()forRating(loangetRiskRating()); } private double unusedRiskFactorFor(Loan loan) {

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i n t l e f t , right; r i g h t = stack[--stackpl; l e f t = stack[--stackp]; i f ( r i g h t == 0) e p r i n t f (" divide %d by zero\nW l e f t ) ; , stack[stackp++] = l e f t / r i g h t ;

If we want to detect intrusions, we should understand the actions needed to compromise a target The five phases described in this section reconnaissance, exploitation, reinforcement, consolidation, and pillage are not the only way for an intruder to take advantage of a victim Figure 12 illustrates the locations in time and space where intruders may be detected as they compromise victims

This document was created by an unregistered ChmMagic, please go to http://wwwbisentercom to register it Thanks

Notice that the check for zero divisors appears in divop, not generate Conditional execution, branches, and loops operate by modifying the program counter within an operator function, performing a branch to a different point in the array of functions For example a goto operator always sets the value of the pc variable, while a conditional branch sets pc only if the condition is true The code array is internal to the interpreter, of course, but imagine we wanted to save the generated program in a file If we wrote out the function addresses, the result would be unponable and fragile But we could instead write out constants that represented the functions, say 1000 for addop 1001 for pushop, and so on, and translate these back into the function pointers when we read the program in for interpretation If we examine a file this procedure produces, it looks like an instruction stream for a virtual machine whose instructions implement the basic operators of our little lan-

return UnusedRiskFactorsgetFactors()forRating(loangetRiskRating()); } public double duration(Loan loan) { if (loangetExpiry() == null && loangetMaturity() != null) return weightedAverageDuration(loan); else if (loangetExpiry() != null && loangetMaturity() == null) return yearsTo(loangetExpiry(), loan); return 00; } private double weightedAverageDuration(Loan loan) { double duration = 00; double weightedAverage = 00; double sumOfPayments = 00; Iterator loanPayments = loangetPayments()iterator(); while (loanPaymentshasNext()) { Payment payment = (Payment)loanPaymentsnext(); sumOfPayments += paymentamount(); weightedAverage += yearsTo(paymentdate(), loan) * paymentamount(); } if (loangetCommitment() != 00) duration = weightedAverage / sumOfPayments; return duration; } private double yearsTo(Date endDate, Loan loan) { Date beginDate = (loangetToday() == null loangetStart() : loangetToday()); return ((endDategetTime() - beginDategetTime()) / MILLIS_PER_DAY) / DAYS_PER_YEAR; } }

One consequence of performing these changes is that Loan's capital and duration calculations now look like this: public class Loan public double capital() { return new CapitalStrategy()capital(this); } public double duration() { return new CapitalStrategy()duration(this); }

guage, and the generate function is really a compiler that translates the language into the virtual machine Virtual machines are a lovely old idea recently made fashionable again by Java and the Java Virtual Machine (JVM); they give an easy way to produce portable, efficient representations of programs written in a high-level language

[18]

While I resist the temptation to prematurely optimize the Loan class, I don't ignore an opportunity to remove duplication In other words, it's time to replace the two occurrences of new CapitalStrategy() with a CapitalStrategy field on Loan: public class Loan

.

private CapitalStrategy capitalStrategy;

private Loan(double commitment, double outstanding, Date start, Date expiry, Date maturity, int riskRating) {

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