@inproceedings{dalpra2015using,
  title={Using Ontology and Data Provenance to Improve Software Processes.},
  author={Dalpra, Humberto Luiz de Oliveira and Costa, Gabriella Castro Barbosa and Sirqueira, Tassio Ferenzini Martins and Braga, Regina Maria Maciel and Werner, Cl{\'a}udia Maria Lima and Campos, Fernanda and David, Jos{\'e} Maria Nazar},
  year = {2015},
  booktitle = {Proceedings of the Brazilian Seminar on Ontologies (ONTOBRAS 2015)},
  editor = {CEUR Workshop Proceedings},
  pages = {12},
  url = {https://www.researchgate.net/profile/Tassio_Sirqueira/publication/283841387_Using_ontology_and_data_provenance_to_improve_software_processes/links/5774593b08ae4645d60a10b4/Using-ontology-and-data-provenance-to-improve-software-processes.pdf},
  volume = {1442},
  abstract = "Provenance refers to the origin of a particular object. In computational terms, provenance is a historical record of the derivation of data that can help to understand the current record. In this context, this work presents a proposal for software processes improvement using a provenance data model and an ontology. This improvement can be obtained by process data execution analysis with an approach called PROV-Process, which uses a layer for storing process provenance and an ontology based on PROV-O."
}

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