Automatic Generation of Floating-Point Test Data
Webb Miller, David L. Spooner · IEEE Transactions on Software Engineering · 1976
For numerical programs, or more generally for programs with floating-point data, it may be that large savings of time and storage are made possible by using numerical maximization methods instead of symbolic execution to generate test data. Two examples, a matrix factorization subroutine and a sorting method, illustrate the types of data generation problems that can be successfully treated with such maximization techniques.