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[PDF] Top 20 Estimation of Software Development Effort Using Back Propagation Neural Network for COCOMO II Dataset

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Estimation of Software Development Effort Using Back Propagation Neural Network for COCOMO II Dataset

Estimation of Software Development Effort Using Back Propagation Neural Network for COCOMO II Dataset

... cost estimation is one of the most significant activities in software project ...cost estimation is important because it can help to classify and prioritize development projects to determine ... See full document

9

A Collective Study of PCA and Neural Network based on COCOMO for Software Cost Estimation

A Collective Study of PCA and Neural Network based on COCOMO for Software Cost Estimation

... project estimation is collected in the sample data set (COCOMO) which consists of many important factors for effort estimating such as software size, effort, productivity, ... See full document

6

Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach

Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach

... global software development industry has now become more matured and ...the software development effort, and then create project development ...a neural network ... See full document

7

A Hybrid Approach for Software Development Effort Estimation using Neural networks, Genetic Algorithm, Multiple Linear Regression and Imperialist Competitive Algorithm

A Hybrid Approach for Software Development Effort Estimation using Neural networks, Genetic Algorithm, Multiple Linear Regression and Imperialist Competitive Algorithm

... Nowadays, effort estimation in software development is of great value and significance in project ...cost estimation not only helps customers trust to invest but also has a significant ... See full document

18

Artificial Neural Network Models For Software Effort Estimation

Artificial Neural Network Models For Software Effort Estimation

... as Cocomo per- formed at least equally good as OLS with log transformation on the Coc81 and Cocnasa data ...the Cocomo model in ...in estimation performance can cause more frequent and larger project ... See full document

5

A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation

A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation

... of software industry leads to need of new technologies. Software effort estimation is one of the areas that need more ...Exact estimation is always a challenging task. Effort ... See full document

7

A New High Performance Neural Network Model For Software Effort Estimation

A New High Performance Neural Network Model For Software Effort Estimation

... constructing software effort estimation models based on artificial neural ...the network that suits to the COCOMO model. Recent year the software industry is growing ... See full document

6

A comparative study of effort estimation techniques using back propagation algorithm

A comparative study of effort estimation techniques using back propagation algorithm

... - Software effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software ... See full document

7

Neural Network based Software Effort
Estimation: A Survey

Neural Network based Software Effort Estimation: A Survey

... intermediate COCOMO, radial basis neural network and regression neural networks to predict software development ...the COCOMO’81 database, consisting 63 projects ...basis ... See full document

6

Title: A Neural Network Model for Estimation Having Reusable Components in Software Development

Title: A Neural Network Model for Estimation Having Reusable Components in Software Development

... Abstract— Software effort estimation is one of the most critical and complex task in software engineering, but it is an inevitable activity in the software development ...in ... See full document

7

Analyzing Effort Estimation in Multistage based FL COCOMO II Framework using various Fuzzy Membership Functions

Analyzing Effort Estimation in Multistage based FL COCOMO II Framework using various Fuzzy Membership Functions

... A software cost estimation model incorporates fuzzy logic can overcome the uncertainty and vagueness of software ...in software cost estimation that can perform more accurate result and ... See full document

5

A review on Compressing Image Using Neural Network techniques

A review on Compressing Image Using Neural Network techniques

... other neural networks for similar generalization performance but in a comparison of SVM, Radial basis function and Back propagation network done for image compression by using medical ... See full document

8

Mining Historical Traffic Data using Back Propagation Neural Network for Accurate Location Estimation

Mining Historical Traffic Data using Back Propagation Neural Network for Accurate Location Estimation

... In this research the main objective is to find the accurate location information using the data mining techniques. In such domain an essential contribution is placed by Anastasios Noulas et al [2] according to ... See full document

5

Towards Better Accuracy and Risk Handling In          Cost Estimation Using Assessment Values

Towards Better Accuracy and Risk Handling In Cost Estimation Using Assessment Values

... of software factors which are typically related to the product, the process and the resources of software ...for software developers is predicting the development effort for a ... See full document

6

A Study on the Application of Neural Network to the Prediction of Weight Control

A Study on the Application of Neural Network to the Prediction of Weight Control

... This study collected and arranged the data from obesity-related studies, analyzed the data background and referred to relevant studies to summarize the important affecting factors as the input variables to find out ... See full document

8

Evaluating Deep Learning Paradigms With TensorFlow And Keras For Software Effort Estimation

Evaluating Deep Learning Paradigms With TensorFlow And Keras For Software Effort Estimation

... of Software Engineering, this takes on additional importance and complexity due to the intangible nature of the work ...Mathematically, estimation becomes a prediction problem, and with the low accuracy ... See full document

9

Implementation of Neural Network Back Propagation Training Algorithm on FPGA

Implementation of Neural Network Back Propagation Training Algorithm on FPGA

... Artificial Neural Network (ANN) chip, which can be trained to implement certain ...of neural networks is done off-line using software tools in the computer ...The neural networks ... See full document

7

Comparative Analysis of Different Software Cost Estimation Methods Tannu 1, Yogesh Kumar2

Comparative Analysis of Different Software Cost Estimation Methods Tannu 1, Yogesh Kumar2

... Intermediate COCOMO Model computes software development effort as a function of program size and set of cost drivers that include subjective assessment of the products, computer, personnel and ... See full document

11

An Approach to Handwriting Recognition using Back Propagation Neural Network

An Approach to Handwriting Recognition using Back Propagation Neural Network

... Recognizing hand drawn characters is an important topic in Computer Science. This paper shows how a Back-Propagation Network can be trained to recognize hand drawn characters. A GUI tool is to be ... See full document

6

Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier

Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier

... a software prototype system in paper for disease detection based on the infected images of various rice ...(SOM) neural network is used for classifying diseased rise ... See full document

7

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