Accession Number : ADA329608
Title : Stochastic Software Reliability: Modeling of Software Failures
Descriptive Note : Final technical rept
Corporate Author : ALFRED P SLOAN SCHOOL OF MANAGEMENT CAMBRIDGE MA
Personal Author(s) : Kaufman, Gordon M.
PDF Url : ADA329608
Report Date : 15 NOV 1996
Pagination or Media Count : 5
Abstract : Given a test history consisting of record of times of software failures, together with a record of both the time at which each failure occurred and the type of that failure: 1) How many faults of each type remain in the software 2) How much added time on test is required to uncover a pre-specified number of faults? 3) If testing continues for a given increment of time, how many faults of each type will be uncovered? Stochastic models of software failures composed of a super population process that generates elements of a finite population of elements that are then successively sampled is used to construct both Bayesian and non Bayesian methods of parameter and predictive inference. Predictive validation of these models is done using NASA/GODDARD Software Engineering Lab data.
Descriptors : *STOCHASTIC PROCESSES, *BAYES THEOREM, *COMPUTER PROGRAM RELIABILITY, SOFTWARE ENGINEERING.
Subject Categories : Computer Programming and Software
Computer Systems Management and Standards
Distribution Statement : APPROVED FOR PUBLIC RELEASE