Simulation of Experiments for Data Collection – a replicated study
Runeson, Per LU
and Wiberg, Mattias
(2006)
10th International Conference on Evaluation and Assessment in Software Engineering, EASE 2006
- Abstract
Simulations can be used as a means for extension of data collection from empirical studies. A simulation model is developed, based on the data from experiments, and new data is generated from the simulation model. This paper replicates an initial investigation by Münch and Armbrust, with the purpose of evaluating the generality of their approach. We replicate their study using data from two inspection experiments. We conclude that the replicated study corroborates the original one. The deviation between the detection rate of the underlying experiment and the simulation models was 2% for the original study and is 4% in the replicated study. Both figures are acceptable for using the approach further. Still the model is based on some... (More)
Simulations can be used as a means for extension of data collection from empirical studies. A simulation model is developed, based on the data from experiments, and new data is generated from the simulation model. This paper replicates an initial investigation by Münch and Armbrust, with the purpose of evaluating the generality of their approach. We replicate their study using data from two inspection experiments. We conclude that the replicated study corroborates the original one. The deviation between the detection rate of the underlying experiment and the simulation models was 2% for the original study and is 4% in the replicated study. Both figures are acceptable for using the approach further. Still the model is based on some adjustment variables that are not directly possible to interpret in terms of the original experiment, and hence the model is subject to improvement.
(Less)
- author
- Runeson, Per
LU
and Wiberg, Mattias
- organization
- publishing date
- 2006
- type
- Contribution to conference
- publication status
- published
- subject
- conference name
- 10th International Conference on Evaluation and Assessment in Software Engineering, EASE 2006
- conference location
- Newcastle, United Kingdom
- conference dates
- 2006-04-10 - 2006-04-11
- external identifiers
-
- scopus:85180158900
- DOI
- 10.14236/ewic/EASE2006.12
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: The authors are thankful to Dr. Jürgen Münch and Mr. Ove Armbrust of Fraunhofer IESE for making the original model and their data available for the replication purpose. The work is partly funded by the Swedish Research Council under grant 622-2004-552 for a senior researcher position in software engineering. Publisher Copyright: © EASE 2006.All rights reserved.
- id
- 53c40efb-1461-4d1a-8879-98d997092e95
- date added to LUP
- 2024-01-31 17:11:33
- date last changed
- 2024-02-01 14:42:38
@misc{53c40efb-1461-4d1a-8879-98d997092e95,
abstract = {{<p>Simulations can be used as a means for extension of data collection from empirical studies. A simulation model is developed, based on the data from experiments, and new data is generated from the simulation model. This paper replicates an initial investigation by Münch and Armbrust, with the purpose of evaluating the generality of their approach. We replicate their study using data from two inspection experiments. We conclude that the replicated study corroborates the original one. The deviation between the detection rate of the underlying experiment and the simulation models was 2% for the original study and is 4% in the replicated study. Both figures are acceptable for using the approach further. Still the model is based on some adjustment variables that are not directly possible to interpret in terms of the original experiment, and hence the model is subject to improvement.</p>}},
author = {{Runeson, Per and Wiberg, Mattias}},
language = {{eng}},
title = {{Simulation of Experiments for Data Collection – a replicated study}},
url = {{http://dx.doi.org/10.14236/ewic/EASE2006.12}},
doi = {{10.14236/ewic/EASE2006.12}},
year = {{2006}},
}