dc.contributor.advisor | Icaza Acereto, José | |
dc.contributor.advisor | Batory, Don | |
dc.contributor.author | Jiménez Pérez, Guillermo | |
dc.creator | JIMENEZ PEREZ, GUILLERMO; 202861 | |
dc.date.accessioned | 2015-08-17T10:24:13Z | en |
dc.date.available | 2015-08-17T10:24:13Z | en |
dc.date.issued | 2003-06-01 | |
dc.identifier.uri | http://hdl.handle.net/11285/569542 | en |
dc.description.abstract | The idea of software product lines is suggested to reduce both development
time and cost. In search of scalable approaches for deploying large-scale software
product lines, researchers and practitioners have been conducting work in several
largely intertwined fields. Two áreas are component-based development and product-line architectures whose goal is that application families can be produced by
integrating components as prescribed by the architecture. A third field is generator
technology, whose aim is the automatic production of software from a (preferably)
formal specification. A fourth technology is expert systems, developed in the artificial intelligence field, which demonstrated that when knowledge in restricted
domains is well-understood, it can be conveniently structured, stored, and manipulated thus problems can be solved by following different reasoning chains appropriate to each particular problem, and explanations displayed to justify the
resulting solution.
This dissertation shows that it is possible to define an approach that combines component-based development, product-line architectures, and generativo
technologies to construct expert tools for automatic software production called
configuration wizards. A configuration wizard is a software assistant incorporating
domain-specific topological knowledge (i.e. a product-line architecture) and a
library of parameterized components which can be adapted to fit in different compositions, realizing members of a system family.
Configuration wizards have the additional advantage that with appropriate
modularization, their evolution can be automatized by describing them as metamodels. These meta-models are processed by a meta-generator which produces
specific configuration wizards.
Our work has several contributions in the área of product lines, as is showing that relatively simple generator-based tools are enough to produce application
families, the identification of a general approach and minimal extensions to programming languages necessary to implement configuration wizards. Additionally,
we show how the approach can be extended to produce configuration wizards from
meta-specifications. This last idea is used to gracefully evolve configuration wizards to incorpórate new features or exclude desired features. | |
dc.language | eng | |
dc.publisher | Instituto Tecnológico y de Estudios Superiores de Monterrey | |
dc.relation | Investigadores | es_MX |
dc.relation | Estudiantes | es_MX |
dc.relation.isFormatOf | versión publicada | es_MX |
dc.relation.isreferencedby | REPOSITORIO NACIONAL CONACYT | |
dc.rights | openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | * |
dc.subject.classification | 7 INGENIERÍA Y TECNOLOGÍA | es_MX |
dc.subject.classification | Area::INGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE LOS ORDENADORES::CÓDIGO Y SISTEMAS DE CODIFICACIÓN | es_MX |
dc.title | Configuration wizards and software product lines | |
dc.type | Tesis de Maestría / master Thesis | |
dc.contributor.department | ITESM | en |
dc.contributor.committeemember | Pérez Cazares, José Raúl | |
dc.contributor.committeemember | Brena Pinero, Ramón | |
dc.contributor.committeemember | Molina Gutiérrez, Arturo | |
dc.contributor.mentor | Garza Salazar, David A. | |
refterms.dateFOA | 2018-03-25T04:09:21Z | |
refterms.dateFOA | 2018-03-25T04:09:21Z | |
html.description.abstract | The idea of software product lines is suggested to reduce both development
time and cost. In search of scalable approaches for deploying large-scale software
product lines, researchers and practitioners have been conducting work in several
largely intertwined fields. Two áreas are component-based development and product-line architectures whose goal is that application families can be produced by
integrating components as prescribed by the architecture. A third field is generator
technology, whose aim is the automatic production of software from a (preferably)
formal specification. A fourth technology is expert systems, developed in the artificial intelligence field, which demonstrated that when knowledge in restricted
domains is well-understood, it can be conveniently structured, stored, and manipulated thus problems can be solved by following different reasoning chains appropriate to each particular problem, and explanations displayed to justify the
resulting solution.
This dissertation shows that it is possible to define an approach that combines component-based development, product-line architectures, and generativo
technologies to construct expert tools for automatic software production called
configuration wizards. A configuration wizard is a software assistant incorporating
domain-specific topological knowledge (i.e. a product-line architecture) and a
library of parameterized components which can be adapted to fit in different compositions, realizing members of a system family.
Configuration wizards have the additional advantage that with appropriate
modularization, their evolution can be automatized by describing them as metamodels. These meta-models are processed by a meta-generator which produces
specific configuration wizards.
Our work has several contributions in the área of product lines, as is showing that relatively simple generator-based tools are enough to produce application
families, the identification of a general approach and minimal extensions to programming languages necessary to implement configuration wizards. Additionally,
we show how the approach can be extended to produce configuration wizards from
meta-specifications. This last idea is used to gracefully evolve configuration wizards to incorpórate new features or exclude desired features. | |
dc.identificator | 7 | |
dc.identificator | 33 | |
dc.identificator | 3304 | |
dc.identificator | 120308 | |