Um método para desenvolvimento de abordagens generativas com composição de linguagens específicas de domínio
The software systems development with domain-specific languages has become increasingly common. Domain-specific languages (DSLs) provide increased of the domain expressiveness, raising the abstraction level by facilitating the generation of models or low-level source code, thus increasing the produc...
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| Formato: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/18087 |
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| Resumo: | The software systems development with domain-specific languages has
become increasingly common. Domain-specific languages (DSLs) provide increased
of the domain expressiveness, raising the abstraction level by facilitating the
generation of models or low-level source code, thus increasing the productivity of
systems development. Consequently, methods for the development of software
product lines and software system families have also proposed the adoption of
domain-specific languages. Recent studies have investigated the limitations of
feature model expressiveness and proposing the use of DSLs as a complement or
substitute for feature model. However, in complex projects, a single DSL is often
insufficient to represent the different views and perspectives of development, being
necessary to work with multiple DSLs. In order to address new challenges in this
context, such as the management of consistency between DSLs, and the need to
methods and tools that support the development with multiple DSLs, over the past
years, several approaches have been proposed for the development of generative
approaches. However, none of them considers matters relating to the composition of
DSLs. Thus, with the aim to address this problem, the main objectives of this
dissertation are: (i) to investigate the adoption of the integrated use of feature models
and DSLs during the domain and application engineering of the development of
generative approaches; (ii) to propose a method for the development of generative
approaches with composition DSLs; and (iii) to investigate and evaluate the usage of
modern technology based on models driven engineering to implement strategies of
integration between feature models and composition of DSLs |
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