Parametric Estimation of Software Systems
Kavita Choudhary, CSE (PhD Pursuing), Banasthali University, Rajasthan, India.
Manuscript received on April 19, 2011. | Revised Manuscript received on April 29, 2011. | Manuscript published on May 05, 2011. | PP: 17-20 | Volume-1 Issue-2, May 2011. | Retrieval Number: A024031211
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© The Authors. Published By: 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: Software is characterised by software metrics. Calculation of effort estimation is a type of software metrics. Software effort estimation plays a vital role in the development of software. In recent years, software has become the most expensive component of computer system projects. The major part of cost of software development is due to the human-effort, and most cost estimation methods focus on this aspect and give estimates in terms of person-month. In this paper, estimation of effort required for the development of software project is calculated using genetic algorithm approach. Software systems are becoming complex and they desire for new, effective and optimized technique with limited resources. A solution to this problem lies in nature where complex species have evolved from simple organisms and constantly become able to adapt to changes in the environment. In case of species, it takes hundreds of generations and years which are not considerable in the field of software engineering. With the use of genetic algorithm, it can be done instantly by simulating the results on various tools of genetic algorithm.
Keywords: Effort estimation, Effort estimation models, Walston-Felix model, COCOMO model, SEL model.