SciELO - Scientific Electronic Library Online

vol.14 issue4Using a Markov Random Field for Image Re-ranking Based on Visual and Textual FeaturesA Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • Have no similar articlesSimilars in SciELO


Computación y Sistemas

Print version ISSN 1405-5546


RINCON NIGRO, Mario; AGUILAR CASTRO, José  and  HIDROBO TORRES, Francisco. Automatic Code Generation from Finite State Machines. Comp. y Sist. [online]. 2011, vol.14, n.4, pp.405-421. ISSN 1405-5546.

In this work, we present a tool for automatic source code generation, in OO languages, from abstract models expressed in UML. The tool allows the code generation, as much of the static structure as the dynamic behavior, present in models of software systems. Specifically, it allows to generate source code in the C++ language, from the classes diagrams, state diagrams, and activities diagrams of the UML. This tool could be integrated to a modeling CASE tool, with appropriate exporting capacities of UML models in format XMI . We present details of tool design and implementation, with special attention in code generation for dynamic behavior. In addition, to evaluate the tool, we present study cases.

Keywords : Theory of Computing; Models of Computation; Finite State Machines; Automatic Code Generation; UML.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License