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Performance prediction based on knowledge of prior product versions

Höst, Martin LU and Johansson, Enrico LU (2005) Proceedings. Ninth European Conference on Software Maintenance and Reengineering In Proceedings. Ninth European Conference on Software Maintenance and Reengineering p.12-20
Abstract
Performance estimation is traditionally carried out when measurement from a product can be obtained. In many cases there is, however, a need to start to make predictions earlier in a development project, when for example different architectures are compared. In this paper, two methods for subjective predictions of performance are investigated. With one of the methods experts estimate the relative resource usage of software tasks without using any knowledge of earlier versions of the product, and with the other method experts use their experience and knowledge of earlier versions of the system. With both methods there are rather large differences between different individual predictions, but the median of the prediction error indicates that... (More)
Performance estimation is traditionally carried out when measurement from a product can be obtained. In many cases there is, however, a need to start to make predictions earlier in a development project, when for example different architectures are compared. In this paper, two methods for subjective predictions of performance are investigated. With one of the methods experts estimate the relative resource usage of software tasks without using any knowledge of earlier versions of the product, and with the other method experts use their experience and knowledge of earlier versions of the system. With both methods there are rather large differences between different individual predictions, but the median of the prediction error indicates that the second method is worth further investigations (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
software performance estimation, software performance prediction, software resource usage, prior product versions
in
Proceedings. Ninth European Conference on Software Maintenance and Reengineering
pages
12 - 20
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Proceedings. Ninth European Conference on Software Maintenance and Reengineering
external identifiers
  • WOS:000228415500002
  • Scopus:26844536228
ISBN
0-7695-2304-8
DOI
10.1109/CSMR.2005.45
language
English
LU publication?
yes
id
ef44f96a-7007-4f76-b311-cdfc6ec62516 (old id 615934)
date added to LUP
2007-11-25 11:47:16
date last changed
2016-10-13 04:42:13
@misc{ef44f96a-7007-4f76-b311-cdfc6ec62516,
  abstract     = {Performance estimation is traditionally carried out when measurement from a product can be obtained. In many cases there is, however, a need to start to make predictions earlier in a development project, when for example different architectures are compared. In this paper, two methods for subjective predictions of performance are investigated. With one of the methods experts estimate the relative resource usage of software tasks without using any knowledge of earlier versions of the product, and with the other method experts use their experience and knowledge of earlier versions of the system. With both methods there are rather large differences between different individual predictions, but the median of the prediction error indicates that the second method is worth further investigations},
  author       = {Höst, Martin and Johansson, Enrico},
  isbn         = {0-7695-2304-8},
  keyword      = {software performance estimation,software performance prediction,software resource usage,prior product versions},
  language     = {eng},
  pages        = {12--20},
  publisher    = {ARRAY(0xb660320)},
  series       = {Proceedings. Ninth European Conference on Software Maintenance and Reengineering},
  title        = {Performance prediction based on knowledge of prior product versions},
  url          = {http://dx.doi.org/10.1109/CSMR.2005.45},
  year         = {2005},
}