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dc.contributor.authorSagrado Martínez, José del
dc.contributor.authorDel Águila Cano, Isabel María
dc.contributor.authorOrellana Zubieta, Franciso Javier
dc.date.accessioned2017-03-15T09:09:16Z
dc.date.available2017-03-15T09:09:16Z
dc.date.issued2011-07-12
dc.identifier.urihttp://hdl.handle.net/10835/4679
dc.description.abstractThe selection of a set of requirements between all those pro- posed by the customers is an important process in software development, that can be addressed using heuristic opti- mization techniques. Dependencies or interactions between requirements can be defined to denote common situations in software development: requirements that follow an order of precedence, requiments exclusive of each other, require- ments that must be included at the same time, etc. This paper shows how requirements interactions affect the search space explored by optimization algorithms. Three search techniques, i.e. a greedy randomized adaptive search proce- dure (GRASP), a genetic algorithm (GA) and an ant colony system (ACS), have been adapted to the requirements selec- tion problem considering interaction between requirements. We describe the adaptation of the three meta-heuristic algo- rithms to solve this problem and compare their performancees_ES
dc.language.isoenes_ES
dc.sourceFull version of the GECCO 2011 http://doi.acm.org/10.1145/2001858.2001994es_ES
dc.titleRequirements interaction in the next release problem - long versiones_ES
dc.title.alternativeLong version - Requirements interaction in the next release problemes_ES
dc.typeinfo:eu-repo/semantics/reportes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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