Open AccessOOFFMM: A Size Estimation Model for Real Time Application
Author(s) -
Sheeba Praveen*,
Agarwal Devendra
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9378.0981119
Subject(s) - function point , computer science , metric (unit) , suite , unified modeling language , object (grammar) , software metric , data mining , use case points , focus (optics) , process (computing) , schedule , estimation , software , software development , software quality , programming language , artificial intelligence , systems engineering , applications of uml , engineering , operations management , physics , operating system , archaeology , optics , history
A lot of Size Estimation technique has been previously proposed for estimation of the effort of object oriented software projects. After reviewing several object oriented metrics we found that FFP is most excellent right metrics for real occasion application. We took FFP metric for estimating the size. There control functions will helps to calculate those complex, scientific or real time process that were not easily estimated by FP or any other metrics. This research job mostly focus on formative the functional_size of Real-time application at early stage. We define the rules to identify logical files from UML diagrams on different models of OMT. This proposed model is completely base on OOD Methodology owing to the version of the Function_Point Analysis to Object_Point Analysis .We also presented the result obtained by applying the model in a Case study. The result has proven that discovered OOFFA metric and Effort estimation model (OOFFMM) is the best model and metric suite for object oriented MIS applications as well as real time applications