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Software Metrics, 3rd Edition
book

Software Metrics, 3rd Edition

by Norman Fenton, James Bieman
October 2014
Intermediate to advanced content levelIntermediate to advanced
617 pages
19h 10m
English
CRC Press
Content preview from Software Metrics, 3rd Edition
480 Software Metrics
Thus,
R(t) = e
−λt
which is the familiar exponential reliability function. Both F(t) and R(t) are
shown in Figure 11.4.
Clearly, any one of the functions f(t), F(t), or R(t) may be dened in
terms of the others. If T is the random variable representing the yet-to-be-
observed time to failure, then any one of these functions gives a complete
description of our uncertainty about T. For example,
PT tRtFt()() ()>= =−1
where P stands for the probability function. e equation tells us that the
probability that the actual time to failure will be greater than a given time
t is equal to R(t) or 1 F(t). us, having any one of ...
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Publisher Resources

ISBN: 9781439838228