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dc.date.accessioned 2010-06-14T14:13:22Z
dc.date.available 2010-06-14T03:00:00Z
dc.date.issued 2010-06
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9675
dc.description.abstract 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. en
dc.format.extent 91-96 es
dc.language en es
dc.subject Heuristic methods es
dc.subject Testing tools (e.g., data generators, coverage testing) es
dc.subject Algorithms es
dc.title Dynamic generation of test cases with metaheuristics en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Jun10-8.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Lanzarini, Laura Cristina es
sedici.creator.person Battaiotto, Pedro Eduardo es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000006138 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 10, no. 2 es

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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)