Multilists applied to an XML parser implementation in Objective C for iOS for XPDL 2.2 standard

Authors

  • Daniel Iván Meza Lara Universidad Piloto de Colombia
  • Leidy Andrea Ruiz Rodríguez Universidad Piloto de Colombia
  • Óscar Elías Herrera Bedoya Universidad Piloto de Colombia

DOI:

https://doi.org/10.15332/iteckne.v9i2.2757

Keywords:

BPMN, GDataXML, Objective C, Parser, Business process, XPDL

Abstract

With the creation of the standard language BPMN(Business Process Modeling Notation) used to represent business processes, the XPDL(XML Process Definition Language) is generated, which describes the data flow information of the process using a XML(Extensible Markup Language) schema. This document shows the implementation of data structures on the development of a parser which allows the interpretation of XPDL files in the 2.2 version; using together multi-lists and the XPDL meta-model, the interpretation of the XML schema problematic is pretended to be solved, allowing a correct storage of the elements. As an additional contribution, the development of the functional parser is made under the Objective C language for iOS, which is pretended to innovate in the mobile platform field.

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Author Biographies

Daniel Iván Meza Lara, Universidad Piloto de Colombia

Ingeniero de Sistemas, Universidad Piloto de Colombia. Joven Investigador Grupo InnovaTIC, Universidad Piloto de Colombia

Leidy Andrea Ruiz Rodríguez, Universidad Piloto de Colombia

Ingeniero de Sistemas, Universidad Piloto de Colombia. Joven Investigador Grupo InnovaTIC, Universidad Piloto de Colombia

Óscar Elías Herrera Bedoya, Universidad Piloto de Colombia

Doctor en Telecomunicaciones, Universidad Politécnica de Valencia. Docente Tiempo Completo, Investigador Grupo InnovaTIC, Universidad Piloto de Colombia

References

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Published

2012-07-01

How to Cite

Meza Lara, D. I., Ruiz Rodríguez, L. A., & Herrera Bedoya, Óscar E. (2012). Multilists applied to an XML parser implementation in Objective C for iOS for XPDL 2.2 standard. ITECKNE, 9(2), 52–61. https://doi.org/10.15332/iteckne.v9i2.2757

Issue

Section

Research and Innovation Articles