{"id":72613,"date":"2005-04-02T00:00:00","date_gmt":"2005-04-02T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/un-modelo-parametrico-matematico-difuso-para-la-estimacion-del-esfuerzo-de-desarrollo-del-software\/"},"modified":"2005-04-02T00:00:00","modified_gmt":"2005-04-02T00:00:00","slug":"un-modelo-parametrico-matematico-difuso-para-la-estimacion-del-esfuerzo-de-desarrollo-del-software","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/un-modelo-parametrico-matematico-difuso-para-la-estimacion-del-esfuerzo-de-desarrollo-del-software\/","title":{"rendered":"Un modelo parametrico matematico difuso para la estimacion del esfuerzo de desarrollo del software"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Francisco Javier Crespo Ya\u00f1ez <\/strong><\/h2>\n<p>La estimaci\u00f3n del esfuerzo de producci\u00f3n es una necesidad en todos los campos de la industria. Los departamentos econ\u00f3micos-financieros consideran imprescindible esa actividad para el estudio de viabilidad de proyectos. Los m\u00e9todos de estimaci\u00f3n param\u00e9tricos matem\u00e1ticos son actualmente uno de los mas utilizados, y proporcionan  una base emp\u00edrica s\u00f3lida para sus predicciones. Sin embargo, los modelos param\u00e9tricos tradicionales de estimaci\u00f3n del esfuerzo del desarrollo del software no dan un soporte explicito al uso de informaci\u00f3n con imperfecciones tales como la imprecisi\u00f3n o incertidumbre, que son inherentes a la formulaci\u00f3n ling\u00ed\u00bc\u00edstica de los factores de ajuste.  a pesar de que existen algunos trabajos sobre la incorporaci\u00f3n de t\u00e9cnicas de tratamiento de la imperfecci\u00f3n en dichos modelos, ninguno de ellos proporciona un tratamiento completo y \u00e1reas como la agregaci\u00f3n de factores quedan sin considerar. La investigaci\u00f3n propuesta en este documento pretende proporcionar un modelo extendido de estimaci\u00f3n param\u00e9trico del software que tenga en cuenta la imperfecci\u00f3n en la representaci\u00f3n de las entradas y la obtenci\u00f3n del modelo en si, utilizando para ello, conceptos relacionados con la teor\u00eda de los conjuntos barrosos.  concretamente, se extiende un modelo param\u00e9trico n\u00edtido para permitir el uso de n\u00fameros borrosos  como entrada y se estudia el uso de una t\u00e9cnica de regresi\u00f3n borrosa concreta para la obtenci\u00f3n del modelo. Adem\u00e1s, se estudia el uso de t\u00e9cnicas de elicitaci\u00f3n de funciones de pertenencia para obtener modelos de las entradas y se analiza el ajuste de operadores de agregaci\u00f3n para modelar la contribuci\u00f3n de aspectos de segundo nivel de las mismas.  abstrac: effort estimating techniques of product development constitute an imperative for any industry area. Financial staff require estimation activities in the context of feasibility analysis of projects. Mathematical parametric estimation models are nowadays some of the most frequently used estimation technique, since they provide a sound empirical basis to predictions. Nonetheless, existing software estimation parametric models lack an explicit support for information imperfections like imprecision and uncertainty, which are inherent to the linguistic formulation of cost divers. Existing research on the introduction of imperfection handling techniques in such models does not provide comprehensive model formulations, and areas like cost diver aggregation are neglected.  the research effort described in this document aims at providing an extended parametric software estimation model that provides support for imperfection in the assessment of the inputs and in the adjustment of the model itself, applying for that purpose concepts related to fuzzy set theory. Concretely, a crisp parametric model is extended to allow for the use of fuzzy numbers as inputs, and a concrete fuzzy regression technique is studied as an approach for the adjustment of the model. In addition the use of membership elicitation techniques as an approach to model inputs is also studied, and an analysis in provided regarding the adjustment of aggregation operators as a model for the contribution of second-level aspects to the input.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Un modelo parametrico matematico difuso para la estimacion del esfuerzo de desarrollo del software<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Un modelo parametrico matematico difuso para la estimacion del esfuerzo de desarrollo del software <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Francisco Javier Crespo Ya\u00f1ez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Alcal\u00e1<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 04\/02\/2005<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Miguel \u00e1ngel Sicilia Urb\u00e1n<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Mar\u00eda covadonga Fern\u00e1ndez  baiz\u00e1n <\/li>\n<li>Jos\u00e9 ramon Hilera gonzalez (vocal)<\/li>\n<li>Javier Aroba paez (vocal)<\/li>\n<li>Jos\u00e9 angel Olivas varela (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Francisco Javier Crespo Ya\u00f1ez La estimaci\u00f3n del esfuerzo de producci\u00f3n es una necesidad en todos los campos [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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