Name: Software cost estimation using artificial neural networks (en Inglés)
Price: 121242.00 COP
Availability: InStock
Author: Hussain, Wani Zahid
ISBN: 9781805249849

portada Software cost estimation using artificial neural networks (en Inglés)

Formato

Libro Físico

Autor

Wani Zahid Hussain

Editorial

Independent Author

Idioma

Inglés

N° páginas

118

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.7 cm

Peso

0.18 kg.

ISBN13

9781805249849

Categorías

Inteligencia artificial

Software cost estimation using artificial neural networks (en Inglés)

Wani Zahid Hussain (Autor) · Independent Author · Tapa Blanda

Libro Físico

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Software cost estimation using artificial neural networks (en Inglés)"

Softwarecost estimation is the forecasting of development effort and development time mandatory needed to develop a software project. It is considered to be the very primary step of software development process and at the same time considered to be the key task as accurate assessments of growth of the current project, its delivery exactness and its cost control can only be achieved once calculated estimation is accurate. And at broader perspective an accurate estimation of a currently developing software project will result in landing the organization in a better schedule of its futuristic software projects too. With due above reason, software effort estimation has received a considerable amount of attention of many researchers from past so many decades. In other words, Software cost estimation is the summation of predictions of both building effort and calendar time used to develop a software project. The building effort includes the summation of working hours and the total of workers included in the process of soft project development. Just from the inception of software project development, organizations of this nature came across to the problem of poor estimations of development effort and development time of software projects.