Cantitate/Preț
Produs

Modelling with Multiple Machine Learning Methodologies

Autor Dr Zhihao Chen, Dr Ying Liu, MR Tong Chen
en Limba Engleză Paperback
In this research, parametric software cost estimation models and their related calibration methods have been analyzed, especially for the COCOMO model and the Bayesian calibration approach. This research combines machine learning techniques and statistical techniques. With this approach, the prediction powers of the COCOMO parametric software cost model are shown to be significantly improved while the variability is decreased with respect to the dataset being analyzed. This research studies not only the accuracy but also the variances of the model and the variables. It can improve the confidence of people who use software cost estimation models, show the prediction power of software cost estimation models after calibration, and make it easier and better to perform software data collection and analysis. However, the research also identifies risks in using the approach, such as dropping parameters that will vary on future projects. This research provides methods that can help an organization to reason about the relationship between the characteristics of the organization and its projects' software development costs and schedules. The methods can thus help the organization to make more cost-effective development decisions and investment decisions. The research also provides new insights on how to combine calibration, stratification, hold-out, and machine learning techniques to produce more accurate parametric models for particular organizations or situations.
Citește tot Restrânge

Preț: 20750 lei

Preț vechi: 25938 lei
-20%

Puncte Express: 311

Preț estimativ în valută:
3975 4306$ 3409£

Carte indisponibilă temporar

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781516985050
ISBN-10: 1516985052
Pagini: 198
Dimensiuni: 216 x 279 x 13 mm
Greutate: 0.65 kg
Editura: CreateSpace Independent Publishing Platform