Software estimation artificial neural networks

Zahid Hussain Wani

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English

Self Publisher
23 May 2023

Computing: general; Enterprise software; Artificial intelligence; Educational material

Summary
Details

Software Estimation Artificial Neural Networks (SEANN) is a cutting-edge approach to estimating software development effort using artificial neural networks (ANNs). It leverages the power of machine learning and neural networks to predict the time, resources, and effort required to complete software development projects. SEANN is designed to address the challenges and complexities associated with software estimation, which traditionally relies on subjective judgment and expert opinion. By utilizing ANNs, SEANN can learn from historical data and identify patterns, relationships, and dependencies that impact software development effort. This enables more accurate and reliable estimations compared to traditional methods. The core of SEANN lies in its neural network architecture, which is inspired by the structure and functioning of the human brain. The network consists of interconnected nodes, or artificial neurons, organized into multiple layers. Each neuron receives input signals, performs computations, and produces an output signal that is passed on to the next layer. Through a process of training, the network adjusts the connections between neurons to optimize its performance and improve estimation accuracy.

By: Zahid Hussain Wani
Imprint: Self Publisher
Dimensions: Height: 229mm, Width: 152mm, Spine: 6mm
Weight: 172g
ISBN: 9798889953128
Pages: 120
Publication Date: 23 May 2023
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active