An Empirical Stopping Rule for Debugging and Testing Computer Software

In this article we introduce the problem of computer software reliability and discuss a probabilistic model for describing the failure of software. We suggest a procedure for estimating the parameters of the model and propose a stopping rule for debugging the software. We apply our procedures to som...

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Bibliographic Details
Published in:Journal of the American Statistical Association Vol. 72; no. 360; pp. 750 - 757
Main Authors: Forman, Ernest H., Singpurwalla, Nozer D.
Format: Journal Article
Language:English
Published: Taylor & Francis Group 01.12.1977
American Statistical Association
Subjects:
Applications
Approximation
Burn in
Computer software
Debugging
Electronics engineering
Estimators
Mathematical intervals
Maximum likelihood estimation
Maximum likelihood estimators
Software reliability
Stopping rule
Testing computer software
ISSN:0162-1459, 1537-274X
Online Access:Get full text
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Description
Summary:In this article we introduce the problem of computer software reliability and discuss a probabilistic model for describing the failure of software. We suggest a procedure for estimating the parameters of the model and propose a stopping rule for debugging the software. We apply our procedures to some published data on software failures.
ISSN:0162-1459
1537-274X
DOI:10.1080/01621459.1977.10479951