Empirically Guided Software Effort Guesstimation

Authors:
Philip M. Johnson;Carleton A. Moore;Joseph A. Dane;Robert S. Brewer
Affiliations:
-;-;-;-
Venue:
IEEE Software
Year:
2000

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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.