Title :
Using Sysml to Describe a New Methodology for Semiautomatic Software Generation from Inferred Behavioral and Data Models
Author :
Alonso, Ignacio González ; Fuente, M. P Almudena García ; Brugos, J.A.L.
Author_Institution :
Comput. Sci. Deparment, Univ. of Oviedo, Gijon
Abstract :
This article describes a new methodology designed for semiautomatic generation of software applications using the new standard of OMG consortium: Sysml. The methodology has behavior and data model inference steps. Both data and behavior are inferred, the first by XSD-schema inference and the latter by business process mining inferences. The paper describes how by using Sysml a better description of the methodology is given, a description that allows making a better design than using UML standard tools.
Keywords :
Unified Modeling Language; XML; automatic programming; business data processing; data mining; data models; inference mechanisms; object-oriented programming; program compilers; OMG consortium; Sysml; UML tool; XSD-schema inference; behavioral model inference; business process mining inference; code generation; data model inference; semiautomatic software component generation methodology; Application software; Automation; Computer applications; Computer science; Data models; Design methodology; Formal languages; Programming; Software standards; Unified modeling language; Behaviour Model; Data Model; Generative programming; MDSD; SYSML; Software methogology;
Conference_Titel :
Systems, 2009. ICONS '09. Fourth International Conference on
Conference_Location :
Gosier, Guadeloupe
Print_ISBN :
978-1-4244-3469-5
Electronic_ISBN :
978-0-7695-3551-7
DOI :
10.1109/ICONS.2009.50