Software Estimation Artificial Neural Networks
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Software Estimation Artificial Neural Networks
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.
Software Cost Estimation Using Artificial Neural Networks
Author: Wani Zahid Hussain
language: en
Publisher: Independent Author
Release Date: 2023-02-04
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.
Artificial Neural Networks
Author: Chi Leung Patrick Hui
language: en
Publisher: BoD – Books on Demand
Release Date: 2011-04-11
This book covers 27 articles in the applications of artificial neural networks (ANN) in various disciplines which includes business, chemical technology, computing, engineering, environmental science, science and nanotechnology. They modeled the ANN with verification in different areas. They demonstrated that the ANN is very useful model and the ANN could be applied in problem solving and machine learning. This book is suitable for all professionals and scientists in understanding how ANN is applied in various areas.