Opening book details…
Can I read A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays on EtoBox?
A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays by Rankovic, Nevena (author);Rankovic, Dragica (author);Ivanovic, Mirjana (author);Lazic, Ljubomir (author) is a Engineering article available to read on EtoBox.
What is A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays about?
In this article, two different architectures of Artificial Neural Networks (ANN) are proposed as an efficient tool for predicting and estimating software effort. Artificial Neural Networks, as a branch of machine learning, are used in estimation because they tend towards fast learning and giving better and more accurate results. The search/optimization embraced here is motivated by the Taguchi method based on Orthogonal Arrays (an extraordinary set of Latin Squares), which demonstrated to be an effective apparatus in a robust design. This article aims to minimize the magnitude relative error (MRE) in effort estimation by using Taguchi's Orthogonal Arrays, as well as to find the simplest possible architecture of an artificial Neural Network for optimized learning. A descending gradient (GA) criterion has also been introduced to know when to stop performing iterations. Given the importance of estimating software projects, our work aims to cover as many different values of actual efficiency of a wide range of projects as possible by division into clusters and a certain coding method, in addition to the mentioned tools. In this way, the risk of error estimation can be reduced, to incre
Who reads A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Rankovic, Nevena (author);Rankovic, Dragica (author);Ivanovic, Mirjana (author);Lazic, Ljubomir (author)
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Published
- 2021
- Language
- EN
- Field
- Engineering (Physical Sciences)