Performance prediction based on knowledge of prior product versions
(2005) 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:
https://lup.lub.lu.se/record/615934
- author
- Höst, Martin LU and Johansson, Enrico LU
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- software performance estimation, software performance prediction, software resource usage, prior product versions
- host publication
- 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
- conference location
- Manchester, United Kingdom
- conference dates
- 2005-03-21 - 2005-03-23
- 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
- 2016-04-04 10:48:50
- date last changed
- 2022-01-29 20:53:09
@inproceedings{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}},
booktitle = {{Proceedings. Ninth European Conference on Software Maintenance and Reengineering}},
isbn = {{0-7695-2304-8}},
keywords = {{software performance estimation; software performance prediction; software resource usage; prior product versions}},
language = {{eng}},
pages = {{12--20}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Performance prediction based on knowledge of prior product versions}},
url = {{http://dx.doi.org/10.1109/CSMR.2005.45}},
doi = {{10.1109/CSMR.2005.45}},
year = {{2005}},
}