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Knowledge base techniques for software requirements validation
dc.contributor.author | Álvarez Canal, Jordi |
dc.contributor.author | Castell Ariño, Núria |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2016-02-24T17:07:23Z |
dc.date.available | 2016-02-24T17:07:23Z |
dc.date.issued | 1996-12 |
dc.identifier.citation | Alvarez, J., Castell, N. "Knowledge base techniques for software requirements validation". 1996. |
dc.identifier.uri | http://hdl.handle.net/2117/83406 |
dc.description.abstract | This document explains a knowledge based model intended to help in Software Requirements Validation. We first construct automatically a specification model from a set of correct specifications using machine learning techniques; and then this model is used to validate new specifications. The machine learning techniques that are used, combine ideas from terminological reasoning, analogical reasoning and probabilistic representation. |
dc.format.extent | 23 p. |
dc.language.iso | eng |
dc.relation.ispartofseries | LSI-96-65-R |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.other | Software requirements validation |
dc.title | Knowledge base techniques for software requirements validation |
dc.type | External research report |
dc.rights.access | Open Access |
local.identifier.drac | 1854616 |
dc.description.version | Postprint (published version) |
local.citation.author | Alvarez, J.; Castell, N. |
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