• Chamkaur Singh
• Dr. Neeraj Sharma
• Dr. Narender Kumar

Software maintenance is a vast subject that includes improvements in capabilities, error correction, optimization and removal of obsolete capabilities. There is need to develop a mechanism for evaluating, controlling and making changes due to a predictable nature of change. So during usage of software if work is done to emend it then it is considered as maintenance work. Both COCOMO and PUTNAM models have been used by various researchers which have their own merits and demerits so in the third phase we have combined both to take their advantages. That’s why in this paper we did hybridization of both COCOMO and PUTNAM models. The proposed model is tested for two datasets name as tomcat and Bug prediction dataset. The proposed performance in terms of the functional point which is coming high i.e. 85.65 % and must be high for high productivity of the software product which increases the demand in the market and functioning of the software developed. Also, it is shown that the efforts per person are also low, which is of 4.88 % which must be low for efficient cost estimation in terms of maintenance. The source lines of code can be high and can be low according to the development of the software requirement which needs to be developed according to the user prospective.

Tomcat, Bug prediction, dataset, Software maintenance cost estimation, COCOMO, PUTNAM

"An Improved Model for Software Maintenance Cost Estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.315-325, April-2019, Available :http://www.jetir.org/papers/JETIR1904347.pdf

"An Improved Model for Software Maintenance Cost Estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp315-325, April-2019, Available at : http://www.jetir.org/papers/JETIR1904347.pdf