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Efficient evaluation of multifactor dependent system performance using fractional factorial design

Berling, Tomas LU and Runeson, Per LU (2003) In IEEE Transactions on Software Engineering 29(9). p.769-781
Abstract
Performance of computer-based systems may depend on many different factors, internal and external. In order to design a system to have the desired performance or to validate that the system has the required performance, the effect of the influencing factors must be known. Common methods give no or little guidance on how to vary the factors during prototyping or validation. Varying the factors in all possible combinations would be too expensive and too time-consuming. This paper introduces a systematic approach to the prototyping and the validation of a system's performance, by treating the prototyping or validation as an experiment, in which the fractional factorial design methodology is commonly used. To show that this is possible, a case... (More)
Performance of computer-based systems may depend on many different factors, internal and external. In order to design a system to have the desired performance or to validate that the system has the required performance, the effect of the influencing factors must be known. Common methods give no or little guidance on how to vary the factors during prototyping or validation. Varying the factors in all possible combinations would be too expensive and too time-consuming. This paper introduces a systematic approach to the prototyping and the validation of a system's performance, by treating the prototyping or validation as an experiment, in which the fractional factorial design methodology is commonly used. To show that this is possible, a case study evaluating the influencing factors of the false and real target rate of a radar system is described. Our findings show that prototyping and validation of system performance become structured and effective when using the fractional factorial design. The methodology enables planning, performance, structured analysis, and gives guidance for appropriate test cases. The methodology yields not only main factors, but also interacting factors. The effort is minimized for finding the results, due to the methodology. The case study shows that after 112 test Cases, of 1,024 possible, the knowledge gained was enough to draw conclusions on the effects and interactions of 10 factors. This is a reduction with a factor 5-9 compared to alternative methods. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
evaluation, performance of systems, fractional factorial design, prototyping, performance
in
IEEE Transactions on Software Engineering
volume
29
issue
9
pages
769 - 781
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000185191700001
  • scopus:0142134961
ISSN
0098-5589
DOI
10.1109/TSE.2003.1232283
language
English
LU publication?
yes
id
d1422383-e155-48d7-a6f7-645bc8ae2903 (old id 301736)
date added to LUP
2007-08-23 08:43:15
date last changed
2018-09-09 04:21:16
@article{d1422383-e155-48d7-a6f7-645bc8ae2903,
  abstract     = {Performance of computer-based systems may depend on many different factors, internal and external. In order to design a system to have the desired performance or to validate that the system has the required performance, the effect of the influencing factors must be known. Common methods give no or little guidance on how to vary the factors during prototyping or validation. Varying the factors in all possible combinations would be too expensive and too time-consuming. This paper introduces a systematic approach to the prototyping and the validation of a system's performance, by treating the prototyping or validation as an experiment, in which the fractional factorial design methodology is commonly used. To show that this is possible, a case study evaluating the influencing factors of the false and real target rate of a radar system is described. Our findings show that prototyping and validation of system performance become structured and effective when using the fractional factorial design. The methodology enables planning, performance, structured analysis, and gives guidance for appropriate test cases. The methodology yields not only main factors, but also interacting factors. The effort is minimized for finding the results, due to the methodology. The case study shows that after 112 test Cases, of 1,024 possible, the knowledge gained was enough to draw conclusions on the effects and interactions of 10 factors. This is a reduction with a factor 5-9 compared to alternative methods.},
  author       = {Berling, Tomas and Runeson, Per},
  issn         = {0098-5589},
  keyword      = {evaluation,performance of systems,fractional factorial design,prototyping,performance},
  language     = {eng},
  number       = {9},
  pages        = {769--781},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Software Engineering},
  title        = {Efficient evaluation of multifactor dependent system performance using fractional factorial design},
  url          = {http://dx.doi.org/10.1109/TSE.2003.1232283},
  volume       = {29},
  year         = {2003},
}