A Modern Approach for Software Cost Estimation using Neural Networks

 
 
 
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  • Abstract


    Programming planning estimation and examination especially, cost estimation exercises have been in the point of convergence of thought for a few associations. Maker explores the usage of the ace result declaration and machine learning methods using intelligent framework and moreover focusing COCOMO II method to manage estimate the cost of programming. Few basic techniques in the usage of neural framework in surveying programming cost. Made to great degree exact results, however the genuine incident in their work was a direct result of the way that the precision of the report depended enthusiastically on the degree of the planning set [4]. Getting the hardship in implementing neural frameworks, the maker makes a dynamic neural framework that would at first use COCOMO II. Sorting out upgrades and its results the amount of instructive gathering augmentations with commitment from ace finalizing that effects the   studying strategy.


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      [1] B. Kitchenham, etal. "Modeling Software Bidding Risks", IEEE Trans. Soft. Eng., Vol 29, pp. 542-554, 2003.

      [2] M. Shepperd, M. Cartwright, "Predicting with SparseData", IEEE Trans. Soft. Eng., Vol 27, pp. 987-998, 2001.

      [3] Karunanithi, N., etal. "Using neural networks in reliability prediction", IEEE Software, pp. 53-59, 1992.

      [4] Samson, B., etal. "Software cost estimation using an Albusperceptron" Info & Softw., 39, pp. 55-60, 1997.

      [5] J.P. Lewis, “Large Limits to Software Estimation,” Software Engineering Notes, Vol. 26, No. 4, July 2001.

      [6] Stamelos, etal. "Estimating the development cost of custom software", Information and Management, v.40 n.8,.729-741, 2003.

      [7] R. W. Jensen, "Extreme Software Cost Estimating", Crosstalk, Journal of defense software Eng., Jan 2004.

      [8] J. E. Zull, "The art of changing the brain", Stylus Publishing, LLC, 2002.

      [9] A. Idri, T. M. Khoshgoftaar, and A. Abran "Can Neural Networks be easily interpreted in Software Cost Estimation?", World Congress on Comp. intelligence, 2002.

      [10] G. E. Wittig, "Using Artificial Neural Networks and Function Points to Estimate 4GL Software Development Effort", Australian Journal of Info. System, 1994.

      [11] J. Hertz, A. Krogh, and R. Palmer, "Introduction to the Theory of Neural Computation" Addison-Wesley, 1991.

      [12] R. T. Hughes, "Expert judgment as an estimating method", Information & Soft. Technology, pp. 67-75, 1996.

      [13] J. Han and M. Kamber "Data Mining, Concepts and techniques", Morgan Kaufmann Publisher, 2001.

      [14] J. Roiger and M. W. Geatz, "Data mining, A tutorial based primer",

      Addison-Wesley, 2003.

      [15] N. Kassabov, "Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering", MIT press, 1996.

      [16] D. E. Neumann, "An Enhanced Neural Network Technique for Software Risk Analysis", IEEE Trans. Soft. Eng., pp 904-912, vol. 28, 2002

      [17] Boehm, "Cost Models for Future Software Live Cycle Processes: COCOMO 2.0", Annl Soft. Eng. pp. 45-60, 1995.

      [18] Avinash Yadlapati, Dr. Hari Kishore Kakarla, “An Advanced AXI Protocol Verification using Verilog HDL”, Wulfenia Journal, ISSN: 1561-882X, Volume 22, Number 4, pp. 307-314, April 2015.

      [19] P Ramakrishna, K. Hari Kishore, “Design of Low Power 10GS/s 6-Bit DAC using CMOS Technology “International Journal of Engineering and Technology(UAE), ISSN No: 2227-524X, Vol No: 7, Issue No: 1.5, Page No: 226-229, January 2018.

      [20] A Murali, K. Hari Kishore, “Efficient and High Speed Key Independent AES Based Authenticated Encryption Architecture using FPGAs “International Journal of Engineering and Technology(UAE), ISSN No: 2227-524X, Vol No: 7, Issue No: 1.5, Page No: 230-233, January 2018.

      [21] G.S.Spandana,K Hari Kishore “A Contemporary Approach For Fault Diagnosis In Testable Reversible Circuits By Employing The CNT Gate Library” International Journal of Pure and Applied Mathematics, ISSN No: 1314-3395, Vol No: 115, Issue No: 7, Page No: 537-542, September 2017.

      [22] K Hari Kishore, CVRN Aswin Kumar, T Vijay Srinivas, GV Govardhan, Ch Naga Pavan Kumar, R Venkatesh “Design and Analysis of High Efficient UART on Spartran-6 and Virtex-7 Devices”, International Journal of Applied Engineering Research, ISSN 0973-4562, Volume 10, Number 09 , pp. 23043-23052, June 2015.

      [23] K Bindu Bhargavi, K Hari Kishore “Low Power BIST on Memory Interface Logic”, International Journal of Applied Engineering Research, ISSN 0973-4562, Volume 10, Number 08 , pp. 21079-21090, May 2015.

      [24] Korraprolu Brahma Reddy, K Hari Kishore, “A Mixed Approach for Power Dissipation Reduction in Nanometer CMOS VLSI circuits”, International Journal of Applied Engineering Research, ISSN 0973-4562 Volume 9, Number 18 , pp. 5141-5148, July 2014.

      [25] Nidamanuri Sai Charan, Kakarla Hari Kishore "Reorganization of Delay Faults in Cluster Based FPGA Using BIST” Indian Journal of Science and Technology, ISSN No: 0974-6846, Vol No.9, Issue No.28, page: 1-7, July 2016.

      [26] Sravya Kante, Hari Kishore Kakarla, Avinash Yadlapati,"Design and Verification of AMBA AHB-Lite protocol using Verilog HDL" International Journal of Engineering and Technology, E-ISSN No: 0975-4024, Vol No.8, Issue No.2, Page:734-741, May 2016.

      [27] Bandlamoodi Sravani, K Hari Kishore, “An FPGA Implementation of Phase Locked Loop (PLL)”, International Journal of Applied Engineering Research, ISSN 0973-4562, Volume 10, Number 14 , pp. 34137-34139, August 2015.

      [28] Avinash Yadlapati, Kakarla Hari Kishore,“Constrained Level Validation of Serial Peripheral Interface Protocol”, Proceedings of the First International Conference on SCI 2016, Volume 1, Smart Computing and Informatics, Smart Innovation, Systems and Technologies 77, ISSN No: 2190-3018, ISBN: 978-981-10-5544-7, Chapter No: 77, pp. 743-753, 25th December 2017.

      [29] P Kiran Kumar, P Prasad Rao, Kakarla Hari Kishore, “Optimal Design of Reversible Parity Preserving New Full Adder / Full Subtractor”, IEEE SPONSORED 3rd INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION SYSTEMS (ICECS 2016), pp. 3465-3470, 25th and 26th February 2016.

      [30] Y Avinash, K Hari Kishore ‘’Designing Asynchronous FIFO for Low Power DFT Implementation’’ International Journal of Pure and Applied Mathematics, ISSN No: 1314-3395, Vol No: 115, Issue No: 8, Page No: 561-566, September 2017.

      [31] Mahesh Mudavathand K Hari Kishore "Design of RF Front End CMOS Cascade CS Low Noise Amplifier on 65nm Technology Process” International Journal of Pure and Applied Mathematics, ISSN No: 1314-3395, Vol No: 115, Issue No: 7, Page No: 417-422, September 2017.

      [32] P. Sahithi K Hari Kishore, E Raghuveera, P. Gopi Krishna “DESIGN OF VOLTAGE LEVEL SHIFTER FOR POWER-EFFICIENT APPLICATIONS USING 45nm TECHNOLOGY” International Journal of Engineering and Technology(UAE), ISSN No: 2227-524X, Vol No: 7, Issue No: 2.8, Page No: 103-108, March 2018.

      [33] N Bala Dastagiri K Hari Kishore “A 14-bit 10kS/s Power Efficient 65nm SAR ADC for Cardiac Implantable Medical Devices” International Journal of Engineering and Technology(UAE), ISSN No: 2227-524X, Vol No: 7, Issue No: 2.8, Page No: 34-39, March 2018.

      [34] Shaik Razia, P.Swathi Pryathyusha, N.Vamsi Krishna “A Comparative study of machine learning algorithms on thyroid disease prediction” International Journal of Engineering and Technology(UAE), ISSN No: 2227-524X, Vol No: 7, Issue No: 2.8, Page No: 315-319, March 2018.

      [35] S RAZIA, A REVIEW ON DISEASE DIAGNOSIS USING MACHINE LEARNING TECHNIQUES, International Journal of Pure and Applied Mathematics, ISSN No: 1314-3395, Vol No: 117, Issue No: 16, Page No: 79-85, 2017.

      [36] S Razia, MR Narasingarao, GR Sridhar, “A decision support system for prediction of thyroid disease-a comparison of multilayer perception neural network and radial basis function neural network”, Journal of Theoretical and Applied Information Technology, ISSN 1992-8645, Volume 80, No. 3 , pp. 544, 2015.

      [37] SHAIK RAZIA, M.R.Narasingarao,“Development and Analysis of Support Vector Machine Techniques for Early Prediction of Breast Cancer and Thyroid” Journal of Advanced Research in Dynamical and Control Systems, ISSN: 1943-023X, Vol.9.Sp.Issue:6, page no: 869-878, 2017.


 

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Article ID: 12506
 
DOI: 10.14419/ijet.v7i2.24.12506




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