Por favor utiliza este link para citar o compartir este documento: http://repositoriodigital.academica.mx/jspui/handle/987654321/76676
Título: Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment
Palabras clave: Software development effort estimation
Fuzzy logic
Linear Regression
Magnitude of Relative Error
Fecha de publicación: 9-Jul-2012
Editorial: Computación y Sistemas
Descripción: There are two main stages for using an estimation model (1) it must be determined whether the model is adequate to describe the observed (actual) data, that is, the model adequacy checking or verification; if it resulted adequate then (2) the estimation model is validated in its environment using new data. This paper is related to the first step. An investigation aimed to compare personal Fuzzy Logic Systems (FLS) with linear regression is presented. These FLS are derived from a replicated experiment using a sample integrated by ten developers. This experiment is based on both a common process and inside of a controlled environment. In six of ten cases the multiple range tests for Magnitude of Relative Error (MRE) by technique show that fuzzy logic is slightly better than linear regression. These results show that a FLS could be use as an alternative for the software development effort estimation at personal level.
Other Identifiers: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-55462008000200004
Aparece en las Colecciones:Computación y Sistemas

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