OOFFMM: A Size Estimation Model for Real Time Application
Sheeba Praveen1, Devendra Agarwal2

1Sheeba Praveen is an Assistant Professor in Computer Science & Engineering Department, Inegral University, Lucknow, U.P.
2Agarwal, Devendra is currently working as Prof. & Head at Department of Computer Science, School of Engineering, BBD University, Lucknow. U.P
Manuscript received on 23 August 2019. | Revised Manuscript received on 13 September 2019. | Manuscript published on 30 September 2019. | PP: 1232-1239 | Volume-8 Issue-11, September 2019. | Retrieval Number: J93780881019/2019©BEIESP | DOI: 10.35940/ijitee.J9378.0981119
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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: 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.
Keywords: OOFFMM, OOFFP, OOILF, OOEIF, OOSC, OOAG, OOMX, OOAS, OOGEN, Real Time, Control function Count. OO Metric suite
Scope of the Article: