Estimating the Failure Rate of a Large Scaled Software in Multiple Input Domain Testing

,

Journal of Korean Society for Quality Management > Volume 30(3); 2002 > Article

Journal of Korean Society for Quality Management 2002;30(3): 186-.

다중입력영역시험에서의 대형 소프트웨어 고장률 추정 연구

문숙경

목원대학교 정보통계학과

Estimating the Failure Rate of a Large Scaled Software in Multiple Input Domain Testing

ABSTRACT

In this paper we introduce formulae for estimating the failure rate of a large scaled software by using the Bayesian rule when a black-box random testing which selects an element(test case) at random with equally likely probability, is performed. A program or software can be treated as a mathematical function with a well-defined (input)domain and range. For a large scaled software, their input domains can be partitioned into multiple subdomains and exhaustive testing is not generally practical. Testing is proceeding with selecting a subdomain, and then picking a test case from within the selected subdomain. Whether or not the proportion of selecting one of the subdomains is assumed probability, we developed the formulae either case by using Bayesian rule with gamma distribution as a prior distribution.

Key Words: Failure Rate;Bayesian Rule;Multiple Input Domain;