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Issue No.06 - November/December (2000 vol.17)
pp: 51-56
ABSTRACT
Project LEAP at the University of Hawaii is investigating tools and methods to support low-cost, empirically based software developer improvement. A recent case study provides evidence that guesstimates, when informed by low-cost analytical methods, might be the most accurate method.
CITATION
Philip M. Johnson, Carleton A. Moore, Joseph A. Dane, Robert S. Brewer, "Empirically Guided Software Effort Guesstimation", IEEE Software, vol.17, no. 6, pp. 51-56, November/December 2000, doi:10.1109/52.895168
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