Dynamic generation of test cases with metaheuristics

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The resolution of optimization problems is of great interest nowadays and has encouraged the development of various information technology methods to attempt solving them. There are several problems related to Software Engineering that can be solved by using this approach. In this paper, a new alter...

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Detalles Bibliográficos
Autores principales:	La Battaglia, Juan Pablo, Lanzarini, Laura Cristina
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2009
Materias:	Ciencias Informáticas Particle Swarm Optimization Heuristic methods Testing tools (e.g., data generators, coverage testing) Algorithms
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/21338
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-21338
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Particle Swarm Optimization Heuristic methods Testing tools (e.g., data generators, coverage testing) Algorithms
spellingShingle	Ciencias Informáticas Particle Swarm Optimization Heuristic methods Testing tools (e.g., data generators, coverage testing) Algorithms La Battaglia, Juan Pablo Lanzarini, Laura Cristina Dynamic generation of test cases with metaheuristics
topic_facet	Ciencias Informáticas Particle Swarm Optimization Heuristic methods Testing tools (e.g., data generators, coverage testing) Algorithms
description	The resolution of optimization problems is of great interest nowadays and has encouraged the development of various information technology methods to attempt solving them. There are several problems related to Software Engineering that can be solved by using this approach. In this paper, a new alternative based on the combination of population metaheuristics with a Tabu List to solve the problem of test cases generation when testing software is presented. This problem is of great importance for the development of software with a high computational cost and which is generally hard to solve. The performance of the solution proposed has been tested on a set of varying complexity programs. The results obtained show that the method proposed allows obtaining a reduced test data set in a suitable timeframe and with a greater coverage than conventional methods such as Random Method or Tabu Search.
format	Objeto de conferencia Objeto de conferencia
author	La Battaglia, Juan Pablo Lanzarini, Laura Cristina
author_facet	La Battaglia, Juan Pablo Lanzarini, Laura Cristina
author_sort	La Battaglia, Juan Pablo
title	Dynamic generation of test cases with metaheuristics
title_short	Dynamic generation of test cases with metaheuristics
title_full	Dynamic generation of test cases with metaheuristics
title_fullStr	Dynamic generation of test cases with metaheuristics
title_full_unstemmed	Dynamic generation of test cases with metaheuristics
title_sort	dynamic generation of test cases with metaheuristics
publishDate	2009
url	http://sedici.unlp.edu.ar/handle/10915/21338
work_keys_str_mv	AT labattagliajuanpablo dynamicgenerationoftestcaseswithmetaheuristics AT lanzarinilauracristina dynamicgenerationoftestcaseswithmetaheuristics
bdutipo_str	Repositorios
_version_	1764820464412131329

Dynamic generation of test cases with metaheuristics

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