State of The Art in Software Size & Effort Estimation
Charan Singh Chandna1, Shourabh Dave2
1Charan Singh Chandna, Computer Science Department, MITM, Indore, India.
2Sourabh Dave, Computer Science Department, MITM, Indore, India.
Manuscript received on March 12, 2013. | Revised Manuscript received on April 13, 2013. | Manuscript published on April 30, 2013. | PP: 802-803 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1576042413/2013©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: In this paper, we present an overview of existing size and effort estimates for software. All these estimates are described more or less on their own. Size & effort estimation is a very popular task. We also explain the fundamentals of size & effort estimation. We describe today’s approaches for size & effort estimation. From the broad variety of size & effort estimation models that have been developed we will compare the most important ones. Their strengths and weaknesses are also investigated. It turns out that the behavior of the size & effort estimates is much more similar as to be expected.
Keywords: COCOMO-II, Project planning and Software size & Estimation.