PREDICTION OF SOFTWARE SYSTEM DEVELOPMENT EFFORTS USING A FUZZY HYBRID MODEL

  • Serhiy Shtovba Vinnytsia National Technical University
  • Anton Yakovenko Vinnytsia National Technical University
Keywords: fuzzy hybrid model, fuzzy inference, fuzzy regression, fuzzy identification, software system, effort prediction

Abstract

For prediction of software system development efforts the paper proposes application of a fuzzy hybrid
model in which rule antecedents are given by fuzzy terms and consequents – by “inputs – output” linear
dependencies with fuzzy coefficients. According to experimental data, identification of the dependence of
software module development efforts on the programmer’s experience, novelty and complexity of the task
has been performed. It has been found that the proposed hybrid model provides an improved accuracy as
compared with other five competitive models.

 

 

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Author Biographies

Serhiy Shtovba, Vinnytsia National Technical University
Professor, Dc. Sc. (Eng.), Professor of the Department of Computer Control Systems
Anton Yakovenko, Vinnytsia National Technical University

Student of the Institute of Automatics, Electronics and Computer Control Systems (InAECCS)

Published
2015-11-25
How to Cite
[1]
S. Shtovba and A. Yakovenko, “PREDICTION OF SOFTWARE SYSTEM DEVELOPMENT EFFORTS USING A FUZZY HYBRID MODEL”, SWVNTU, no. 1, Nov. 2015.
Section
Information Technologies and Computer Engineering