Dynamic generation of test cases with metaheuristics

Título:

Dynamic generation of test cases with metaheuristics

Autor:

La Battaglia, Juan Pablo

Colaboradores:

; Lanzarini, Laura Cristina

Temas:

TESTEOOPTIMIZACIÓNALGORITMOS EVOLUTIVOS

En:

Congreso Argentino de Ciencias de la Computación (25to. : 2009 oct : Jujuy), pp. 1267-1275

Resumen:

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 prob- lems 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 compu- tational 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.

URL/DOI:

http://goo.gl/5qZJQg

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (124,6 KB)

Idioma:

Inglés

Publicación:

Red de Universidades Nacionales con Carreras de Informática (RedUNCI), 2009

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