This paper presents a surprising result: changing a seemingly innocuous aspect of an experimental setup can cause a systems researcher to draw wrong conclusions from an experiment. What appears to be an innocuous aspect in the experimental setup may in fact introduce a significant bias in an evaluation. This phenomenon is called measurement bias in the natural and social sciences.
%0 Conference Paper
%1 mytkowicz_producing_2009
%A Mytkowicz, Todd
%A Diwan, Amer
%A Hauswirth, Matthias
%A Sweeney, Peter F.
%B Proceeding of the 14th international conference on Architectural support for programming languages and operating systems
%C Washington, DC, USA
%D 2009
%I ACM
%K performance bias measurement
%P 265--276
%R 10.1145/1508244.1508275
%T Producing wrong data without doing anything obviously wrong!
%U http://portal.acm.org/citation.cfm?id=1508244.1508275
%X This paper presents a surprising result: changing a seemingly innocuous aspect of an experimental setup can cause a systems researcher to draw wrong conclusions from an experiment. What appears to be an innocuous aspect in the experimental setup may in fact introduce a significant bias in an evaluation. This phenomenon is called measurement bias in the natural and social sciences.
%@ 978-1-60558-406-5
@inproceedings{mytkowicz_producing_2009,
abstract = {This paper presents a surprising result: changing a seemingly innocuous aspect of an experimental setup can cause a systems researcher to draw wrong conclusions from an experiment. What appears to be an innocuous aspect in the experimental setup may in fact introduce a significant bias in an evaluation. This phenomenon is called measurement bias in the natural and social sciences.},
added-at = {2009-09-29T19:54:43.000+0200},
address = {Washington, {DC,} {USA}},
author = {Mytkowicz, Todd and Diwan, Amer and Hauswirth, Matthias and Sweeney, Peter F.},
biburl = {https://www.bibsonomy.org/bibtex/21e133091a10003cf86b96107e83d79da/dudemeister},
booktitle = {Proceeding of the 14th international conference on Architectural support for programming languages and operating systems},
doi = {10.1145/1508244.1508275},
interhash = {69f54ef7890118340c2915c2108929fc},
intrahash = {1e133091a10003cf86b96107e83d79da},
isbn = {978-1-60558-406-5},
keywords = {performance bias measurement},
pages = {265--276},
publisher = {{ACM}},
timestamp = {2009-09-29T19:54:43.000+0200},
title = {Producing wrong data without doing anything obviously wrong!},
url = {http://portal.acm.org/citation.cfm?id=1508244.1508275},
year = 2009
}