Performance is a pervasive quality of software systems; everything affects it, from the software itself to all underlying layers, such as operating system, middleware, hardware, communication networks, etc. Software Performance Engineering encompasses efforts to describe and improve performance, with two distinct approaches: an early-cycle predictive modelbased approach, and a late-cycle measurement-based approach. Current progress and future trends within these two approaches are described, with a tendency (and a need) for them to converge, in order to cover the entire development cycle.
%0 Conference Paper
%1 Woodside:2007:FSP:1253532.1254717
%A Woodside, Murray
%A Franks, Greg
%A Petriu, Dorina C.
%B 2007 Future of Software Engineering
%C Washington, DC, USA
%D 2007
%I IEEE Computer Society
%K FOSE_07 mda measurement_based performance software
%P 171--187
%R 10.1109/FOSE.2007.32
%T The Future of Software Performance Engineering
%U http://dx.doi.org/10.1109/FOSE.2007.32
%X Performance is a pervasive quality of software systems; everything affects it, from the software itself to all underlying layers, such as operating system, middleware, hardware, communication networks, etc. Software Performance Engineering encompasses efforts to describe and improve performance, with two distinct approaches: an early-cycle predictive modelbased approach, and a late-cycle measurement-based approach. Current progress and future trends within these two approaches are described, with a tendency (and a need) for them to converge, in order to cover the entire development cycle.
%@ 0-7695-2829-5
@inproceedings{Woodside:2007:FSP:1253532.1254717,
abstract = {Performance is a pervasive quality of software systems; everything affects it, from the software itself to all underlying layers, such as operating system, middleware, hardware, communication networks, etc. Software Performance Engineering encompasses efforts to describe and improve performance, with two distinct approaches: an early-cycle predictive modelbased approach, and a late-cycle measurement-based approach. Current progress and future trends within these two approaches are described, with a tendency (and a need) for them to converge, in order to cover the entire development cycle.},
acmid = {1254717},
added-at = {2012-11-29T09:56:58.000+0100},
address = {Washington, DC, USA},
author = {Woodside, Murray and Franks, Greg and Petriu, Dorina C.},
biburl = {https://www.bibsonomy.org/bibtex/20bdb9a5e610658f2f3480bc7d2f9356e/iyas_hilal},
booktitle = {2007 Future of Software Engineering},
description = {The Future of Software Performance Engineering},
doi = {10.1109/FOSE.2007.32},
interhash = {564a9801522579446459fdde7dd353db},
intrahash = {0bdb9a5e610658f2f3480bc7d2f9356e},
isbn = {0-7695-2829-5},
keywords = {FOSE_07 mda measurement_based performance software},
numpages = {17},
pages = {171--187},
publisher = {IEEE Computer Society},
series = {FOSE '07},
timestamp = {2013-01-25T14:38:38.000+0100},
title = {The Future of Software Performance Engineering},
url = {http://dx.doi.org/10.1109/FOSE.2007.32},
year = 2007
}