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» Fit data selection for software effort estimation models
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DATE
2010
IEEE
157views Hardware» more  DATE 2010»
14 years 3 months ago
RMOT: Recursion in model order for task execution time estimation in a software pipeline
Abstract—This paper addresses the problem of execution time estimation for tasks in a software pipeline independent of the application structure or the underlying architecture. A...
Nabeel Iqbal, M. A. Siddique, Jörg Henkel
BMCBI
2008
186views more  BMCBI 2008»
13 years 10 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
JSS
2006
78views more  JSS 2006»
13 years 10 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...
ICST
2009
IEEE
14 years 5 months ago
Generating Feasible Transition Paths for Testing from an Extended Finite State Machine (EFSM)
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the ...
Abdul Salam Kalaji, Robert M. Hierons, Stephen Swi...
ISPW
2008
IEEE
14 years 4 months ago
Accurate Estimates without Calibration?
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...
Tim Menzies, Oussama El-Rawas, Barry W. Boehm, Ray...