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Authors: Maria Luiza Furtuozo Falci ; Regina Braga ; Victor Ströele and José Maria David

Affiliation: Federal University of Juiz de Fora, Brazil

Keyword(s): Data Provenance, Software Process, Data Provenance Model, Process Improvement.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Society, e-Business and e-Government ; Software Engineering ; Software Metrics and Measurement ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: Software development is a complex and unpredictable activity. The idea of using knowledge from previous software processes can be a good idea to improve the quality of future executions. The aim of this work is to propose a software process improvement architecture named OntoComplex, which helps software managers in decision making about software projects. Among the technologies used in OntoComplex we highlight the use of ontologies and complex networks, associated with a provenance data model (ProvONE). By monitoring and analyzing process execution data using these technologies, we can extract implicit knowledge that can help project managers to make decisions. An initial evaluation of OntoComplex was conducted using data from a Brazilian medium size software company.

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Paper citation in several formats:
Furtuozo Falci, M.; Braga, R.; Ströele, V. and David, J. (2018). Software Process Improvement through the Combination of Data Provenance, Ontologies and Complex Networks. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 61-70. DOI: 10.5220/0006700400610070

@conference{iceis18,
author={Maria Luiza {Furtuozo Falci}. and Regina Braga. and Victor Ströele. and José Maria David.},
title={Software Process Improvement through the Combination of Data Provenance, Ontologies and Complex Networks},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2018},
pages={61-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006700400610070},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Software Process Improvement through the Combination of Data Provenance, Ontologies and Complex Networks
SN - 978-989-758-298-1
IS - 2184-4992
AU - Furtuozo Falci, M.
AU - Braga, R.
AU - Ströele, V.
AU - David, J.
PY - 2018
SP - 61
EP - 70
DO - 10.5220/0006700400610070
PB - SciTePress

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