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» Anchoring and adjustment in software estimation
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DATE
2006
IEEE
93views Hardware» more  DATE 2006»
13 years 11 months ago
Software annotations for power optimization on mobile devices
Modern applications for mobile devices, such as multimedia video/audio, often exhibit a common behavior: they process streams of incoming data in a regular, predictable way. The r...
Radu Cornea, Alexandru Nicolau, Nikil D. Dutt
BMCBI
2007
106views more  BMCBI 2007»
13 years 5 months ago
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
Background: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Stand...
Michael A. Gilchrist, Hong Qin, Russell L. Zaretzk...
JSS
2006
78views more  JSS 2006»
13 years 5 months ago
An empirical study of process-related attributes in segmented software cost-estimation relationships
Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the hist...
Juan Jose Cuadrado-Gallego, Miguel-Ángel Si...
ISMAR
2007
IEEE
13 years 11 months ago
An Industrial Augmented Reality Solution For Discrepancy Check
Construction companies employ CAD software during the planning phase, but what is finally built often does not match the original plan. The procedure of validating the model is c...
Pierre Georgel, Pierre Schroeder, Selim Benhimane,...
JSW
2008
220views more  JSW 2008»
13 years 5 months ago
Empirical validation of Software development effort multipliers of Intermediate COCOMO Model
Intermediate COCOMO Model computes effort as a function of program size and a set of cost drivers. Effort adjustment factor (EAF) is calculated using 15 cost drivers. EAF is an imp...
M. J. Basavaraj, K. C. Shet