Mathematics Reliability Growth Model: Primary- Failures Generate Secondary- Fault Under Imperfect Debugging |
Today, computerhardware and Mathematics permeates our modern society. Computers are embeddedin wristwatches, telephones, home appliances, buildings, automobiles, and aircraft.Science and technology demand high-performance hardware and high-qualityMathematics for making improvements and breakthroughs. We can look at virtuallyany industry - automotive, avionics, oil, telecommunications, banking,semi-conductors, pharmaceuticals - all these industries are highly dependent oncomputers for their basic functioning. When the requirements for anddependencies on computers increase, the possibility of cries from computerfailures also increase. It is always desirable to remove a substantial numberof faults from the Mathematics. In fact the reliability of the Mathematics isdirectly proportional to the number of faults removed. Hence the problem ofmaximization of Mathematics reliability is identical to that of maximization offault removal. At the same time testing resource are not unlimited, and theyneed to be judiciously used.