Sunita Chulani, Barry Boehm, et al.
IEEE Transactions on Software Engineering
This paper summarizes several classes of software cost estimation models and techniques: parametric models, expertise-based techniques, learning-oriented techniques, dynamics-based models, regression-based models, and composite-Bayesian techniques for integrating expertise-based and regression-based models. Experience to date indicates that neural-net and dynamics-based techniques are less mature than the other classes of techniques, but that all classes of techniques are challenged by the rapid pace of change in software technology. The primary conclusion is that no single technique is best for all situations, and that a careful comparison of the results of several approaches is most likely to produce realistic estimates.
Sunita Chulani, Barry Boehm, et al.
IEEE Transactions on Software Engineering
Bernard Wong, June Verner, et al.
ICSE 2005
Bernard Wong, Sunita Chulani, et al.
ICSE 2004
Bernard Wong, June Verner, et al.
ICSE 2005