Likelihood Function of a Debugging Model for Computer Software Reliability

A simple model for software reliability growth, originally suggested by Jelinski & Moranda, has been widely used but suffers from difficulties associated with parameter estimation. We show that a major reason for obtaining nonsensical results from the model is its application to data sets which...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on reliability Vol. R-30; no. 2; pp. 145 - 148
Main Authors: Littlewood, Bev, Verrall, John L.
Format: Journal Article
Language:English
Published: IEEE 01.06.1981
Subjects:
Application software
Battery powered vehicles
Computer errors
Debugging
Debugging modeling
Likelihood function
Maximum likelihood estimation
Parameter estimation
Reliability engineering
Software reliability
Statistics
ISSN:0018-9529
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A simple model for software reliability growth, originally suggested by Jelinski & Moranda, has been widely used but suffers from difficulties associated with parameter estimation. We show that a major reason for obtaining nonsensical results from the model is its application to data sets which exhibit decreasing reliability. We present a simple, necessary and sufficient condition for the maximum likelihood estimates to be finite and suggest that this condition be tested prior to using the model.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9529
DOI:10.1109/TR.1981.5221009