A Simple Neural Network Approach to Software Cost Estimation

Dr. Anupama Kaushik

A Simple Neural Network Approach to Software Cost Estimation

Dr. Anupama Kaushik * §

Contact

§ Maharaja Surajmal Institute of Technology

A Simple Neural Network Approach to Software Cost Estimation

Article Fingerprint

ReserarchID

648U2

A Simple Neural Network Approach to Software Cost Estimation Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

The effort invested in a software project is one of the most challenging task and most analyzed variables in recent years in the process of project management. Software cost estimation predicts the amount of effort and development time required to build a software system. It is one of the most critical tasks and it helps the software industries to effectively manage their software development process. There are a number of cost estimation models. Each of these models have their own pros and cons in estimating the development cost and effort. This paper investigates the use of Back-Propagation neural networks for software cost estimation. The model is designed in such a manner that accommodates the widely used COCOMO model and improves its performance. It deals effectively with imprecise and uncertain input and enhances the reliability of software cost estimates. The model is tested using three publicly available software development datasets. The test results from the trained neural network are compared with that of the COCOMO model. From the experimental results, it was concluded that using the proposed neural network model the accuracy of cost estimation can be improved and the estimated cost can be very close to the actual cost.

References

14 Cites in Article

Reference Format

1. B Boehm (1981). Software Engineering Economics. Software Engineering Economics
2. A Idri,A Zakrani,A Zahi (2010). Design of radial basis function neural networks for software effort estimation. IJCSI International Journal of Computer Science, 7(4), 11-17.
3. Ali Idri,Azeddine Zahi,Emilia Mendes,Abdelali Zakrani (2007). Software Cost Estimation Models Using Radial Basis Function Neural Networks. Lecture Notes in Computer Science, 21-31.
4. Prasad Reddy,P Sudha,K R; Rama Sree P; Ramesh,S (2010). Software Effort Estimation using Radial Basis and Generalized Regression Neural Networks. Journal of computing, 2(5), 87-92.
5. Vinay Kumar,K Ravi,V,Mahil Carr,Raj Kiran,N (2008). Software development cost estimation using wavelet neural networks. The Journal of Systems and Software, 81(11), 1853-1867.
6. Tirimula Rao,B Sameet,B,Kiran Swathi,G Vikram Gupta,K,Ravi Teja,; Ch,S Sumana (2009). A Novel Neural Network Approach for Software Cost Estimation using Functional Link Artificial Neural Network (FLANN). International Journal of Computer Science and Network Society, 9(6), 126-131.
7. G Witting,G Finnie (1994). Using Artificial Neural Networks and Function Points to estimate 4GL Software Development Effort. Journal of Information Systems, 1(2), 87-94.
8. N Karunanitthi,D Whitely,Y Malaiya (1992). Using Neural Networks in Reliability Prediction. IEEE Software Engineering, 9(4), 53-59.
9. T Khoshgoftaar,E Allen,Z Xu (2000). Predicting testability of program modules using a neural network. Proceedings 3rd IEEE Symposium on Application-Specific Systems and Software Engineering Technology, 57-62.
10. C Reddy,Kvsn Raju (2009). An Improved Fuzzy Approach for COCOMO's Effort Estimation using Gaussian Membership Function. Journal of software, 4(5), 452-459.
11. A Venkatachalam (1993). Software cost estimation using artificial neural networks. Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan), 1, 987-990.
12. S Sivanandam,S Sumathi,S Deepa (2007). Introduction to Fuzzy Logic using MATLAB. Introduction to Fuzzy Logic using MATLAB
13. K Molokken,M Jorgensen (2003). A review of software surveys on software effort estimation. Proceedings of IEEE International Symposium on Empirical Software Engineering ISESE, 223-230.
14. Sun-Jen Huang,Nan-Hsing Chiu (2009). Applying fuzzy neural network to estimate software development effort. Applied Intelligence, 30(2), 73-83.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Anupama Kaushik. 1969. "A Simple Neural Network Approach to Software Cost Estimation". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 13 (GJCST Volume 13 Issue D1).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 13 Issue D1

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

artificial neural networks back-propagation networks COCOMO model Project Management soft computing techniques Software Effort Estimation

Classification

GJCST-D Classification B.2.m

Submission ReceivedApril 6, 2013
Peer Review Double Blind
Handling Editor
Accepted May 1, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

January 15, 2013

Language

English

Order Article Reprint

Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: Dr. Anupama Kaushik, A.K. Soni, Rachna Soni (PhD/Dr. count: 1)

View Count (all-time): 510

Total Views (Real + Logic): 6360

Total Downloads (simulated): 533

Publish Date: 2013 05, Wed

Monthly Totals (Real + Logic):

Month 1: 47 views
Month 2: 36 views
Month 3: 24 views
Month 4: 56 views
Month 5: 59 views
Month 6: 53 views
Month 7: 42 views
Month 8: 38 views
Month 9: 29 views
Month 10: 38 views
Month 11: 43 views
Month 12: 14 views
Month 13: 41 views
Month 14: 45 views
Month 15: 34 views
Month 16: 41 views
Month 17: 13 views
Month 18: 20 views
Month 19: 33 views
Month 20: 39 views
Month 21: 35 views
Month 22: 33 views
Month 23: 32 views
Month 24: 40 views
Month 25: 14 views
Month 26: 15 views
Month 27: 44 views
Month 28: 22 views
Month 29: 32 views
Month 30: 21 views
Month 31: 24 views
Month 32: 35 views
Month 33: 22 views
Month 34: 24 views
Month 35: 25 views
Month 36: 34 views
Month 37: 37 views
Month 38: 19 views
Month 39: 29 views
Month 40: 23 views
Month 41: 33 views
Month 42: 34 views
Month 43: 47 views
Month 44: 43 views
Month 45: 29 views
Month 46: 12 views
Month 47: 33 views
Month 48: 45 views
Month 49: 18 views
Month 50: 25 views
Month 51: 28 views
Month 52: 45 views
Month 53: 44 views
Month 54: 30 views
Month 55: 34 views
Month 56: 25 views
Month 57: 43 views
Month 58: 29 views
Month 59: 34 views
Month 60: 25 views
Month 61: 13 views
Month 62: 24 views
Month 63: 19 views
Month 64: 12 views
Month 65: 32 views
Month 66: 23 views
Month 67: 28 views
Month 68: 41 views
Month 69: 34 views
Month 70: 41 views
Month 71: 25 views
Month 72: 29 views
Month 73: 33 views
Month 74: 31 views
Month 75: 34 views
Month 76: 40 views
Month 77: 30 views
Month 78: 28 views
Month 79: 31 views
Month 80: 18 views
Month 81: 32 views
Month 82: 41 views
Month 83: 19 views
Month 84: 38 views
Month 85: 42 views
Month 86: 10 views
Month 87: 43 views
Month 88: 28 views
Month 89: 42 views
Month 90: 38 views
Month 91: 22 views
Month 92: 14 views
Month 93: 26 views
Month 94: 23 views
Month 95: 34 views
Month 96: 32 views
Month 97: 25 views
Month 98: 29 views
Month 99: 19 views
Month 100: 35 views
Month 101: 37 views
Month 102: 36 views
Month 103: 49 views
Month 104: 25 views
Month 105: 30 views
Month 106: 14 views
Month 107: 23 views
Month 108: 33 views
Month 109: 30 views
Month 110: 25 views
Month 111: 26 views
Month 112: 28 views
Month 113: 41 views
Month 114: 31 views
Month 115: 28 views
Month 116: 31 views
Month 117: 27 views
Month 118: 32 views
Month 119: 29 views
Month 120: 34 views
Month 121: 39 views
Month 122: 18 views
Month 123: 23 views
Month 124: 22 views
Month 125: 20 views
Month 126: 24 views
Month 127: 24 views
Month 128: 18 views
Month 129: 25 views
Month 130: 27 views
Month 131: 37 views
Month 132: 44 views
Month 133: 21 views
Month 134: 21 views
Month 135: 21 views
Month 136: 25 views
Month 137: 42 views
Month 138: 38 views
Month 139: 26 views
Month 140: 46 views
Month 141: 26 views
Month 142: 31 views
Month 143: 36 views
Month 144: 45 views
Month 145: 33 views
Month 146: 22 views
Month 147: 18 views
Month 148: 24 views
Month 149: 28 views
Month 150: 37 views
Month 151: 67 views
Month 152: 31 views
Month 153: 11 views
Month 154: 26 views
Month 155: 31 views
Month 156: 26 views
Month 157: 34 views
Month 158: 32 views
Month 159: 51 views
Month 160: 42 views
Month 161: 54 views
Month 162: 47 views

Total Views: 6.4K

Total Downloads: 533

All Trends