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A replicated empirical study of a selection method for software reliability growth models

Andersson, Carina LU (2007) In Empirical Software Engineering 12(2). p.161-182
Abstract
Replications are commonly considered to be important contributions to investigate the generality of empirical studies. By replicating an original study it may be shown that the results are either valid or invalid in another context, outside the specific environment in which the original study was launched. The results of the replicated study show how much confidence we could possibly have in the original study. We present a replication of a method for selecting software reliability growth models to decide whether to stop testing and release software. We applied the selection method in an empirical study, conducted in a different development environment than the original study. The results of the replication study show that with the changed... (More)
Replications are commonly considered to be important contributions to investigate the generality of empirical studies. By replicating an original study it may be shown that the results are either valid or invalid in another context, outside the specific environment in which the original study was launched. The results of the replicated study show how much confidence we could possibly have in the original study. We present a replication of a method for selecting software reliability growth models to decide whether to stop testing and release software. We applied the selection method in an empirical study, conducted in a different development environment than the original study. The results of the replication study show that with the changed values of stability and curve fit, the selection method works well on the empirical system test data available, i.e., the method was applicable in an environment that was different from the original one. The application of the SRGMs to failures during functional testing resulted in predictions with low relative error, thus providing a useful approach in giving good estimates of the total number of failures to expect during functional testing. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
replication, software reliability
in
Empirical Software Engineering
volume
12
issue
2
pages
161 - 182
publisher
Springer
external identifiers
  • wos:000244688000004
  • scopus:33847734004
ISSN
1573-7616
DOI
10.1007/s10664-006-9018-0
language
English
LU publication?
yes
id
e35441ee-b3be-4008-b969-cf9eb564b147 (old id 673873)
date added to LUP
2007-12-05 11:59:44
date last changed
2017-09-03 03:54:59
@article{e35441ee-b3be-4008-b969-cf9eb564b147,
  abstract     = {Replications are commonly considered to be important contributions to investigate the generality of empirical studies. By replicating an original study it may be shown that the results are either valid or invalid in another context, outside the specific environment in which the original study was launched. The results of the replicated study show how much confidence we could possibly have in the original study. We present a replication of a method for selecting software reliability growth models to decide whether to stop testing and release software. We applied the selection method in an empirical study, conducted in a different development environment than the original study. The results of the replication study show that with the changed values of stability and curve fit, the selection method works well on the empirical system test data available, i.e., the method was applicable in an environment that was different from the original one. The application of the SRGMs to failures during functional testing resulted in predictions with low relative error, thus providing a useful approach in giving good estimates of the total number of failures to expect during functional testing.},
  author       = {Andersson, Carina},
  issn         = {1573-7616},
  keyword      = {replication,software reliability},
  language     = {eng},
  number       = {2},
  pages        = {161--182},
  publisher    = {Springer},
  series       = {Empirical Software Engineering},
  title        = {A replicated empirical study of a selection method for software reliability growth models},
  url          = {http://dx.doi.org/10.1007/s10664-006-9018-0},
  volume       = {12},
  year         = {2007},
}