Titlebook: Evaluation of Novel Approaches to Software Engineering; 6th International Co Leszek A. Maciaszek,Kang Zhang Conference proceedings 2013 Spr

ASTER

定點(diǎn)

Lipoprotein

A Study on Software Effort Prediction Using Machine Learning Techniquesre employed to predict software effort using historical dataset. The unsupervised learning as .-medoids clustering equipped with different similarity measures is used to cluster projects in historical dataset. The supervised learning as J48 decision tree, back propagation neural network (BPNN) and n

因無(wú)茶而冷淡

Sinus-Rhythm

Steering through Incentives in Large-Scale Lean Software Developmentdous momentum over the last decade. This results in empowerment of individuals which leads to increased flexibility but at the same time sacrifices managerial control through traditional steering practices. Hence, the design of adequate incentive schemes in order to align local optimization and oppo