Neural Network model for software size estimation using Use Case Point approach

Author

Ajitha, S. ; Kumar, T. V Suresh ; Geetha, Evangelin D. ; Kanth, K. Rajani

Author_Institution

M.S Ramaiah Inst. of Technol., Bangalore, India

fYear

2010

fDate

July 29 2010-Aug. 1 2010

Firstpage

372

Lastpage

376

Abstract

A realistic software size estimation is required in various subject areas of Software Engineering. Especially to predict performance of software system using Software Performance Engineering approach, software size is an important input parameter. Even though several estimation procedures are available the Neural Network model presents advantages over normal estimation procedure. In this paper we develop a Neural Network model to estimate the size of software using Use Case Point approach. The results are validated and a case study of Multi-Agent System is presented.

Keywords

multi-agent systems; neural nets; software cost estimation; software performance evaluation; multiagent system; neural network model; software performance engineering approach; software size estimation; use case point approach; Artificial neural networks; Estimation; Object oriented modeling; Software systems; Training; Unified modeling language; Multi-Agent systems; Neural Network; Soft ware size; Use case point;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2010 International Conference on

Conference_Location

Mangalore

Print_ISBN

978-1-4244-6651-1

Type

conf

DOI

10.1109/ICIINFS.2010.5578675

Filename

5578675