Masters Theses

Date of Award

12-1988

Degree Type

Thesis

Degree Name

Master of Science

Major

Computer Science

Major Professor

J. H. Poore

Committee Members

Ronald Leinius, Bruce Char, David Mutchler

Abstract

Random testing or statistical testing of software has long been regarded as inferior to testing techniques that take advantage of knowledge of the software or the process of its production. However, research continues to show that statistical testing often yields better results than other forms of testing. Furthermore, as software takes on ever larger roles in medical instruments, avionics, control systems and life critical systems, the social need for certification of performance becomes important. Statistical testing allows one to make scientific statements about software. This research presents a step-by-step explanation of all the things necessary to conduct statistical tests of software.

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