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|a La Battaglia, Juan Pablo
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|a Dynamic generation of test cases with metaheuristics
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|a 1 archivo (124,6 KB)
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|a Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
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|a 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.
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|a Congreso Argentino de Ciencias de la Computación (25to. : 2009 oct : Jujuy), pp. 1267-1275
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|a TESTEO
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| 650 |
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|a OPTIMIZACIÓN
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| 650 |
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|a ALGORITMOS EVOLUTIVOS
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|a Lanzarini, Laura Cristina
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|u http://goo.gl/5qZJQg
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