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keq thus obtained is time-dependent The original model with four degrees of freedom may be approximated by a model with a single degree of freedom with variable stiffness, using the general application for the rule of transformation The equation of motion of the system mx + c( s - x ) + keq ( s - x ) = 0 where the dots represent differentiation with respect to time Using Eq (1223) gives mx + c( s - x ) + kc ( ) 2 s - x = 0 kc 1 1+ s kt wR (1224)

Without goals, the change will be hard to measure and to communicate to others. It will be a vague something that can easily be shut down at the first sight of trouble. Here are some goals you might want to consider:

The effect of the exibility of the shaft is greatest for the position of the cam corresponding to a = amax For many cam pro les this occurs at the midpoint of the cam As a rst approximation, R(q) can be replaced by the mean pitch radius of the cam R(q ) = Rm Eq (1224) can now be rewritten as mx + c( s - x ) + kc k 1+ c k1 1 s wRm

Table 18-1

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A study by Boris Beizer showed that developers who write tests and don t use code-coverage tools or other techniques to test code coverage will be naively optimistic about the coverage they gained from the tests. Another study, from the book Peer Reviews in Software: A Practical Guide, suggests that testing without code-coverage tools may only result in coverage of about 50 to 60 percent of the code. (There s much anecdotal evidence that, by using TDD, one can get up to 95 to 100 percent code coverage for logical code.) A simple goal to measure is the percentage of the code covered by the tests. The more coverage, the better chance of finding bugs. It s not a silver bullet, though. One could easily have close to 100 percent code coverage with bad tests that don t mean anything. Low coverage is a bad sign; high coverage is a possible sign that things are better.

( s - x ) = 0

(1226)

Biometric Credit Unions (from Bill Rogers , Biometric Digest) (continued)

Next, the following nondimensional parameters are introduced:

The study by Boris Beizer is discussed in Mark Johnson s article, Dr. Boris Beizer on software testing: an interview, part 1, in The Software QA Quarterly (summer 1994). The other study is discussed in Karl Wiegers book, Peer Reviews in Software: A Practical Guide (Addison-Wesley, 2002).

b = wT1 ,

The Riverside Health System in Newport News, Virginia, includes three hospitals, 10 nursing homes, several wellness and fitness centers, three retirement communities, and over 200 medical offices The credit union serving this system

where h is the cam lift in a dwell-rise-dwell motion input and T1 is the period of such input Substituting these into Eq (1226) yields (1 + G 2 F ) X + 2x(1 + G 2 F ) 2p 2p 2p 2p X+ X = 2x (1 + G 2 F ) G + G T T T T

Some production systems will allow you to measure the amount of code churn how many lines of code were changed between builds. The fewer lines of code changed, the fewer bugs you re likely to have introduced into a system. Calculating this isn t always practical, particularly in systems where you do a lot of code generation as part of the build process, but this can be solved by ignoring generated code. One system that allows you to measure code churn is Microsoft s Team System. (See Microsoft s Code Churn Perspective article at http://msdn.microsoft.com/en-us/library/ms244698(VS.80).aspx.)

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