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 Conseil national de recherches Canada | M50, 1200 chemin Montréal, Ottawa (Ont) K1A 0R6 Government of Canada | Gouvernement du Canada
