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Empirically Guided Software Effort Guesstimation
November/December 2000 (vol. 17 no. 6)
pp. 51-56
| ASCII Text | x | ||
| 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. | |||
| BibTex | x | ||
| @article{ 10.1109/52.895168, author = {Philip M. Johnson and Carleton A. Moore and Joseph A. Dane and Robert S. Brewer}, title = {Empirically Guided Software Effort Guesstimation}, journal ={IEEE Software}, volume = {17}, number = {6}, issn = {0740-7459}, year = {2000}, pages = {51-56}, doi = {http://doi.ieeecomputersociety.org/10.1109/52.895168}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Software TI - Empirically Guided Software Effort Guesstimation IS - 6 SN - 0740-7459 SP51 EP56 EPD - 51-56 A1 - Philip M. Johnson, A1 - Carleton A. Moore, A1 - Joseph A. Dane, A1 - Robert S. Brewer, PY - 2000 VL - 17 JA - IEEE Software ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/52.895168
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, Nov.-Dec. 2000, doi:10.1109/52.895168
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