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Biblos-e Archivo
Bachelor thesis . 2021
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Generación de casos de prueba con estructura compleja mediante "constraint solvers"

Authors: Poyatos Maroto, Alfredo;

Generación de casos de prueba con estructura compleja mediante "constraint solvers"

Abstract

Crear pruebas de software es un proceso importante, pero también es costoso y propenso a errores, por lo que automatizar dicho proceso resulta de gran utilidad. Existen herramientas para automatizar varios tipos de pruebas distintos, pero este trabajo se va a centrar en crear casos de prueba. Para ello, vamos a utilizar herramientas como JavaParser, Alloy y JUnit. Estas herramientas están explicadas con brevedad en este texto, así como las decisiones principales de diseño y desarrollo del código. Para un mejor entendimiento del programa, se realiza una explicación paso a paso pero sin entrar en detalle del funcionamiento de este. Por último, se prueba que el programa funciona correctamente frente a varios códigos distintos y se plantean posibles mejoras que se pueden llevar a cabo en un futuro.

Country
Spain
Related Organizations
Keywords

Informática, Automatización, Pruebas, Matemáticas, Generación de pruebas

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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