Study of Software Maintenance and Maintenance Estimation Guidelines
P. Ashok Reddy1, K. Rajasekhara Rao2, M. Babu Reddy3
1P. Ashok Reddy, Head, Department of MCA, Lakireddy Bali Reddy College of Engineering, Mylavaram (Andhra Pradesh), India.
2K. Rajasekhara Rao, Director, Usha Rama College of Engineering, Telaprolu, Vijayawada (Andhra Pradesh), India.
3M. Babu Reddy, HOD, Department of Computer Science, Krishna University, Machilipatnam (Andhra Pradesh), India.
Manuscript received on 13 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1976-1981 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F13550476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Programming maintenance is a costly motion that devours a noteworthy bit of the price of the total project. Special physical games finished amid assist encompass the expansion of new features, erasure of antique code, remedy of errors, and so forth. Programming practicality implies the ease with which those duties may be executed. Inside the event that the viability may be anticipated in early periods of the product development, it helps in better arranging and excellent resource utilization. Estimation of plan houses, for instance, coupling, attachment, and so on in early degrees of development regularly drives us to infer the bearing on viability with the help of prediction models. On this paper, we executed out a planned audit of the present day-day investigations related to software viability. In this exploration work we foresee the product unwavering best as a long way as time taken to preserve up the errors and enhancements. Counterfeit Neural network is applied to interrupt down and count on the product unwavering splendid of the renovation level. In the direction of the give up measurable outcomes and proposed neural gadget consequences are likewise contrasted with ensure that expected outcomes are identical to the yield effects.
Keywords: Software Maintenance Estimation Guidelines Programming Utilization Neural Network.
Scope of the Article: Systems and Software Engineering