E-SECO ProVersion: An Approach for Scientific Workflows Maintenance and Evolution. Sirqueira, T. F., Dalpra, H. L., Braga, R., Araújo, M. A. P., David, J. M. N., & Campos, F. Procedia Computer Science, 100:547 - 556, 2016. International Conference on ENTERprise Information Systems/International Conference on Project MANagement/International Conference on Health and Social Care Information Systems and Technologies, CENTERIS/ProjMAN / HCist 2016
Paper doi abstract bibtex This paper discusses the use of evolution and maintenance techniques in scientific workflows context. Using version control and data provenance techniques, strategical information can be collected and analyzed using ontological rules. We present the E-SECO ProVersion approach, specified in the context of a Scientific Software Ecosystem, named E-SECO. E-SECO ProVersion is aimed of acting as a mediator to extract maintenance and evolution information from different workflows repositories. Therefore, it address the maintenance and evolution of scientific workflows, adapting concepts of software evolution and maintenance for the scientific experimentation context, through versioning and similarity degree obtained from data provenance support.
@article{sirqueiraa2016eyseco,
title = "E-SECO ProVersion: An Approach for Scientific Workflows Maintenance and Evolution",
journal = "Procedia Computer Science",
volume = "100",
pages = "547 - 556",
year = "2016",
note = "International Conference on ENTERprise Information Systems/International Conference on Project MANagement/International Conference on Health and Social Care Information Systems and Technologies, CENTERIS/ProjMAN / HCist 2016",
issn = "1877-0509",
doi = "https://doi.org/10.1016/j.procs.2016.09.194",
url={https://www.researchgate.net/profile/Tassio_Sirqueira/publication/308904473_E-SECO_ProVersion_An_Approach_for_Scientific_Workflows_Maintenance_and_Evolution/links/57f69a5f08ae91deaa5ecabf/E-SECO-ProVersion-An-Approach-for-Scientific-Workflows-Maintenance-and-Evolution.pdf},
author = "Tássio F.M. Sirqueira and Humberto L.O. Dalpra and Regina Braga and Marco Antônio P. Araújo and José Maria N. David and Fernanda Campos",
keywords = "Workflow Maintenance, Workflow Evolution, Data Provenance, E-SECO ;",
abstract = "This paper discusses the use of evolution and maintenance techniques in scientific workflows context. Using version control and data provenance techniques, strategical information can be collected and analyzed using ontological rules. We present the E-SECO ProVersion approach, specified in the context of a Scientific Software Ecosystem, named E-SECO. E-SECO ProVersion is aimed of acting as a mediator to extract maintenance and evolution information from different workflows repositories. Therefore, it address the maintenance and evolution of scientific workflows, adapting concepts of software evolution and maintenance for the scientific experimentation context, through versioning and similarity degree obtained from data provenance support."
}
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