Gerold,
Yes, you got the gist of the experiment right.
Regarding Allen's question, we also allowed participants to choose any
estimation method they desired, to find out if the anchoring effect was
stronger for some techniques. It seemed that participants were equally
biased by the effect, no matter which method they chose.
paper at
http://www.cs.toronto.edu/~jaranda/pubs/MScThesis-JorgeAranda.pdf
That's my M.Sc. thesis based on the same topic. For a far more exciting
read, you can instead find the ESEC/FSE paper here:
http://www.cs.toronto.edu/~jaranda/pubs/AnchoringAdjustment.pdf
Finally, Magne Jorgensen, at the Simula Research Lab, has been doing a
lot of interesting research on expert-based estimation that should be
relevant to Allen's question too.
Thanks,
Jorge
presentation at
http://www.cs.toronto.edu/~jaranda/pubs/Presentation-AnchoringAdjustment-Feb05.pdf
to the best of my knowledge the idea of the experiment was to
include some minor expected duration information (an "anchor") into a
document
that was the basis for an estimation.
in the experiment the estimators got heavily biased by this anchor.
best regards,
gerold
-----Ursprüngliche Nachricht-----
*Von:* [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Auftrag von *janice singer
*Gesendet:* Montag, 22. Januar 2007 01:24
*An:* [EMAIL PROTECTED]; discuss@ppig.org
*Betreff:* Re: PPIG discuss: software estimating and partitioning
Jorge Aranda, a grad student at Utoronto did an excellent study on
software estimation.
J. Aranda and S. M. Easterbrook (2005) Anchoring and Adjustment in
Software Estimation. European Software Engineering Conference / ACM
SIGSOFT Symposium on the Foundations of Software Engineering
(ESEC/FSE'05), Lisbon, Portugal, Sept 5-9, 2005.
Janice
On 1/21/07 5:23 PM, "[EMAIL PROTECTED]" <[EMAIL PROTECTED]> wrote:
A key aspect of programming in practice is the reliable
estimation of size, time and effort. It seems like most people
that are good at estimating do so by partitioning the problem
into smaller pieces that can be handled more easily. Then,
final estimates are accomplished by combining the pieces. This
procedure is certainly what engineering approaches teach and I
think other approaches as well.
But I haven't been able to find much empirical data suggesting
that software estimation done by partitioning is superior to
that done more "wholistically". I assume that I am missing
something huge and obvious since partitioning is such an
important cognitive tool (and has been for such a long time).
But, I haven't found empirical references yet
Can anybody direct me to references on this topic.
Thanks very much
Dr. Allen Milewski
Department of Software Engineering
Monmouth University
[EMAIL PROTECTED]
--
--
Janice Singer, PhD
NRC Institute for Information Technology | Institut de technologie
de l'information du CNRC
Tel/Tél: (613) 993-7760| Facsimile/télécopieur: (613) 952-7151
[EMAIL PROTECTED]
http://iit-iti.nrc-cnrc.gc.ca <http://iit-iti.nrc-cnrc.gc.ca />
National Research Council Canada | M50, 1200 Montreal Rd., Ottawa,
ON K1A 0R6
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