Empirically guided software effort guesstimation

Authors
Johnson, PM Moore, CA Dane, JA Brewer, RS
Citation
Pm. Johnson et al., Empirically guided software effort guesstimation, IEEE SOFTW, 17(6), 2000, pp. 51
Citations number
8
Categorie Soggetti
Computer Science & Engineering
Journal title
IEEE SOFTWARE
ISSN journal
07407459 → ACNP
Volume
17
Issue
6
Year of publication
2000
Database
ISI
SICI code
0740-7459(200011/12)17:6<51:EGSEG>2.0.ZU;2-A
Abstract
Project LEAP at the University of Hawaii is investigating tools and methods to support low-cost, empirically based software developer improvement. A r ecent case study provides evidence that guesstimates, when informed by low- cost analytical methods, might be the most accurate method.