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dc.date.accessioned 2012-10-16T14:45:45Z
dc.date.available 2012-10-16T14:45:45Z
dc.date.issued 2004
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22500
dc.description.abstract Little has been written about the component provision problem (programming plans and domain concepts) for the repositories of knowledge in program understanding systems and reports that specifically address this issue are unknown. Model-driven and plan-driven approaches use repositories where construction and evolution are informal and depend on the experts. In domains where the expert is not available the only valid source of information is the source code. But, domain concept design and programming plans from the source code by non-expert professionals is not a trivial task. In this paper, a hybrid top-down/bottom-up approach based on algorithmic pattern matching and slicing techniques has begun to be defined in order to provide plans or concepts (termed activities in the model-driven approaches) to the knowledge base. Initially, the exploration area is restricted by slicing techniques, and then, software inspection tools are used to further limit the relevant areas. Finally, the initially hypothesized pattern is matched with these segments. en
dc.language en es
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject Program understanding en
dc.subject Intelligent agents es
dc.subject programming plans en
dc.subject program slicing en
dc.subject domain model en
dc.subject constraint satisfaction problems en
dc.subject partial constraint satisfaction problems en
dc.title Potential programming plan and domain concept detection supported by slicing technique en
dc.type Objeto de conferencia es
sedici.creator.person Villavicencio, Gustavo es
sedici.description.note Eje: V - Workshop de agentes y sistemas inteligentes es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.relation.event X Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)