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

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

Open publisher page 23 citations

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 23 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Use Case Points, Software sizing, Computer science, Function point, Artificial neural network, Software, Software metric, Estimation

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