Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment

Existen dos fases principales en el uso de un modelo de estimacion: (1) se debe determinar si el modelo es adecuado para describir los datos observados (reales), eso es, la comprobacion de la adecuacion del modelo o verificacion del mismo; si este resultara adecuado, entonces (2) el modelo de estimacion se valida en su ambiente usando datos nuevos. Este articulo esta relacionado con la primera etapa. Se presenta una investigacion dirigida a la comparacion de Sistemas de Logica Difusa (SLD) personales. Estos SLD se derivan a partir de un experimento replicado con base en una muestra de diez desarrolladores, asi como en un proceso de desarrollo comun dentro de un entorno controlado. En seis de los diez casos, las pruebas de rango multiple de la Magnitud del Error Relativo (MER) por tecnica, muestran que la logica difusa es ligeramente mejor que la regresion simple. Estos resultados muestran que un SLD podria ser utilizado como alternativa para la estimacion del esfuerzo de desarrollo de software a nivel personal

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