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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.
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CITATION
Joseph A. Dane, Philip M. Johnson, Carleton A. Moore, Robert S. Brewer, "Empirically Guided Software Effort Guesstimation", IEEE Software, vol. 17, no. , pp. 51-56, November/December 2000, doi:10.1109/52.895168
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