A Pragmatic Cost Effective Model to Enhance the COCOMO Model in Software Estimation
D Gayathri1, Chithra Sukumar K2, C V Prasanna Kumar3

1D Gayathri, Computer Science & IT Department, Amrita Vishwa Vidyapeetham, Ernakulam, India.
2Chithra Sukumar K, PG Student, Department of Computer Science &IT Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India.
3C V Prasanna Kumar, Assistant Professor, Department of Computer Science &IT Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 26, 2020. | Manuscript published on March 10, 2020. | PP: 1745-1748 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2872039520/2020©BEIESP | DOI: 10.35940/ijitee.E2872.039520
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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: This research work is aimed at to provide effective cost estimation methodology emphasize on cost effort and time . This paper summarizes the cost effort estimation of most conventionally used models like organic and semi-detached models using an improved version of genetic algorithm that enhances an empirical methodology to reduce the cost factor and time factor in software projects. Constructive cost model(Cocomo model) is broadly used for the fruitful valuation of cost estimation which is based on KLOC method(thousands of lines of code).This method yields beneficial result in case of lines of code method but lacks in terms of concept and logics. The same is estimated directly and is computed using the function point analysis. In the software development lifecycle, the software cost effort estimation is the most demanding process. The accuracy of the estimate in choosing the estimation model is an essential factor. Such conventional software effort estimation techniques fail to compute the accuracy of effort estimation and it is not up to the mark. So here, we tend to propose the cost reduction in the software projects by using the improved version of the known genetic algorithm. 
Keywords: COCOMO, Effort Estimation, Cost, Software project
Scope of the Article: Software Engineering & Its Applications