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Hacia una propuesta de priorización de casos de pruebas a partir de NDT

Authors: Ruiz Cutilla, Carmen M.; García García, Julián Alberto; Gutiérrez Rodríguez, Javier Jesús;

Hacia una propuesta de priorización de casos de pruebas a partir de NDT

Abstract

La importancia de la fase de pruebas ha ido incrementándose de ma nera exponencial en los últimos tiempos, llegando a considerarse hoy en día como una de las fases más importantes durante el desarrollo de software debi do a los riesgos que puede suponer que el hecho de no realizar las pruebas de forma completa o incorrecta. Estos hechos quedan reflejados a la hora de definir la planificación de los proyectos, en los que la planificación se extiende en la fase de pruebas, resultando más costoso el proyecto. Esta situación conlleva la necesidad de estudiar y aplicar nuevas técnicas para ejecutar la fase de pruebas lo más completa posible reduciendo el coste de dicha fase. Entre las técnicas para conseguir este objetivo se encuentra la técnica de priorización de los casos de pruebas. Esta técnica permite generar un conjunto de casos de pruebas idó neo para validar todas las casuísticas del proyecto. En este trabajo de investiga ción estudiaremos una nueva línea de investigación sobre la priorización de los casos de pruebas.

Ministerio de Ciencia e Innovación TIN2010-10057-C03-02

Ministerio de Ciencia e Innovación TIN 2010-12313-E

Junta de Andalucía TIC-5789

Country
Spain
Related Organizations
Keywords

Casos de pruebas, Priorización casos pruebas, Ingeniería guiada por modelos, Selección casos pruebas

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green