In this paper based on the empirical results obtained from rigorous analysis and experiment carried out on some projects, provides an annotate that software project estimation by using the technique of Function Point Model more or less give standard estimation of software project size and less time needed to estimate rather than estimating the software project based on size estimation . Line of Code (LOC). | ISSN:2249-5789 Souvik Daw et al, International Journal of Computer Science & Communication Networks,Vol 2(2), 224-230 Annotation of Function Point Model over Size Estimation Souvik Daw Avijit Das Parthasarathi paul Sikkim Manipal Institute Birla Institute of Birla Institute of of Technology Technology Technology Sikkim Kolkata Kolkata Email: souvik_1@ Email: avijit_das@ Email: parthasp2010 @ Abstract In this era software, whether system software or application software is raised up as an indispensible division of any sector- manufacturing, government, education etc. With the growing intricacy of the system and in accordance to increasing user’s requirements, consequently the dimension of any software development project is inclining upwardly. Software estimation is the key of entire software development project, and the proper estimation immediately affects the completion of project with less hindrance. Accurate estimation of the problem size is fundamental to satisfactory estimation of effort, time duration and cost of a software project. In this paper based on the empirical results obtained from rigorous analysis and experiment carried out on some projects, provides an annotate that software project estimation by using the technique of Function Point Model more or less give standard estimation of software project size and less time needed to estimate rather than estimating the software project based on size estimation . Line of Code (LOC). Keywords: Software Engineering, Function Point Model, Line of Code, Software Project Estimation. 1. Introduction Systems persisting to expand in size and with this the complexity is also growing up, becoming increasingly difficult to understand and tackle. As improvements in coding tools and availability of sophisticated compiler allow software developers to produce larger amounts of application software and system software to meet ever-expanding user requirements, a method to understand
