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Neural Network: A better Approach for Software Effort Estimation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 130 - Number 8 |
| Year of Publication: 2015 |
| Authors: Salma Tarannum, Md. Suaib, Abdul Muttalib |
10.5120/ijca2015907052
|
Salma Tarannum, Md. Suaib, Abdul Muttalib . Neural Network: A better Approach for Software Effort Estimation. International Journal of Computer Applications. 130, 8 ( November 2015), 21-24. DOI=10.5120/ijca2015907052
Abstract
Software effort estimation is to find out the development effort required by a project. Before any project is being started firstly it is required to estimate the development effort required. This is one of the most important and challenging activities that has done before. Various techniques have been proposed to calculate effort estimation, but providing accurate cost is still an unachievable goal. This paper represents different neural network techniques that have been proposed to calculate effort estimation. It describes various techniques and approach proposed by different researchers representing how neural network gives accurate effort estimation in comparison with other techniques. This paper also focuses on how researchers have used various concepts of neural network and brought it into use to estimate effort.
References
- Kathleen Peter, 2012. Software Project Estimation.
- Anil K.Jain, Jianchang Mao, KM. Mohiuddin, 1996. Artificial Neural Network: A Tutorial http://www.csc.lsu.edu/~jianhua/nn.pdf
- Sriman Srichandan, 2012. A new approach of software effort estimation using Radial basis function neural networks.
- Jaswinder Kaur, Satwinder Singh, Dr. Karanjeet Singh Kahlon, Pourush Bassi, 2010. Neural Network- A Novel Technique for Software Effort Estimation.
- B. Tirimula Rao, B. Sameet, G.Kiran Swathi, K.Vikram Gupta, Ch. Ravi Teja, S. Sumana , 2009. A Novel Neural Network Approach For Software Cost Estimation Using Functional Link Artificial Neural Network.
- Prabhakar, Maitreyeea Dutta, 2013. Prediction of Software Effort Using Artificial Neural Network and Support Vector Machine.(2013)
- Dr. G. R. Finnie, G. E. Wittig, J.M Desharnars, 1997. A Comparison of Software Effort Estimation Techniques: using Function Points with Neural networks, case-based reasoning and regression model.
- Gerhard Witting, Gavin Finnie, Estimating Software development effort with connectionist models.
- Abbas Heiat, 2002. Comaprison of artificial neural network and regression models for estimating software development effort.
- Li, Y.F. Xie, M. Goh, T.N (2007). A study of genetic algorithm for project selection for analogy based software cost estimation. IEEE International Conference on Industrial Engineering and Engineering Management, 1256-1260.
- Pedrycz, W. Peters, J.F. Ramanna, S (1999). A fuzzy set approach to cost estimation of software projects. IEEE Canadian Conference on Electrical and Computer Engineering, 2, 1068-1073.
- Shina Dhingra, Palvinder Singh Mann (2013). An Adaptive Neuro Fuzzy Approach for Software Development Time Estimation.
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