Indicadores empíricos formales y muy tempranos de complejidad esencial de sistemas de gestión intensiva de datosun modelo conceptual.
- Salvetto, Pedro; Carrillo, José; Marbán, Óscar; Fernández, Julio; Nogueira, Juan Carlos
- José Carrillo
- Óscar Marbán
- Julio Fernández
- Juan Carlos Nogueira
- Javier Segovia
ISSN: 1886-4554
Ano de publicación: 2006
Volume: 3
Número: 1
Páxinas: 1-24
Tipo: Artigo
Outras publicacións en: Revista de procesos y métricas de las tecnologías de la información
Resumo
Despite many years of research, the problem of formal and structured estimation (that is independent of human expertise) of time and effort required for intensive data management systems remained as an open issue. This paper introduces: a) A set of early and formal indicators for essential complexity of IS, which can be calculated from the set of final user visions. Those metrics are independent from: (1) the humam expertise, (2) the technology used in the development of the IS, and (3) the set of final user visions from which they have been obtained. b) A set of empirical formal models independent from human expertise, which deliver very early estimates for IS development time and effort. These models can be applied to intensive data management IS, based on relational DBMS, developed with agile evolution processes and automatic code generation from frmal specifications. (Our definition for formality in the specification is not restricted to rigorous mathematical formal languages. We assume that a specification is formal if it contains enough information to generate automatically the code in any particular language and platform, using an existing code generator.