Bibiano Rivas
SERLAB
Research Group Meeting
Presentation
Bibiano Rivas
Dipartimento di Informatica-Università degli Studi di Bari
Via Orabona, 4 – 70125 – Bari
Tel:+39.080.5443270 | Fax:+39.080.5442536
Serlab.di.uniba.it
About me
PhD Student at the XXXIII Cycle
Programme in Computer Science and Mathematics
at UNIBA
Tutor: Dra. Maria Teresa Baldassarre
Co-Tutor Prof. Mario Piattini
Short CV (I/II)
EDUCATION & TRAINING
- BcS in Computer Science (July 2015) at UCLM
- MsC in Computer Science Engineering (October 2016) at UCLM
WORK EXPERIENCE
- Research assistant in Alarcos Research Group (from 2015 to 2017)
- Co-founder Cirebits JE
- Co-founder DQTeam S.L. Spin-off UCLM
OTHERS
- Standarization committees participation
- ISO/IEC 20547 – JTC 1/WG9 for Big Data. 7-9 July 2015. Ciudad Real (Spain). Attendee
- ISO 8000 – TC184/SC4/WG13. 17-19 February 2015. Ciudad Real (Spain). Attendee.
- International academic conference organization committees participation
- 10th IEEE International Conference on Global Software Engineering (ICGSE). 13-16
July 2015. Ciudad Real (Spain). Organization committee staff. - 21st International Conference on Information Quality (ICIQ). 21-23 July 2016. Ciudad
Real (Spain). Organization committee staff.
Short CV(II/II)
PUBLICATIONS
- I8K|DQ-BigData: I8K Architecture Extension for Data Quality in Big
Data in the MoBiD workshop of the 34th International Conference
on Conceptual Modelling (ER2015). - JCR Q1- Future Generation Computer Systems Journal. “A Data
Quality in Use model for Big Data”. - JCR Q2– Computer Software & Interfaces. “Towards a service
architecture for master data exchange based on ISO 8000 with
support to process large datasets”. - Infrastructure-Aware Functional Testing of MapReduce Programs.
FiCloud Workshops 2016: 171-176 - I8K|DQ-BigData: Extensión Arquitectura I8K para Calidad de Datos
en Big Data. JISBD 2015 Conference, Santander (Spain) - No JCR – Advances in Science, Technology and Engineering
Systems Journal. 2 – 1, pp. 90 – 96. ASTESJ.
“Configuration/Infrastructure-aware testing of MapReduce
programs”, 15/01/2017. ISSN 2415-6698
- 10th IEEE International Conference on Global Software Engineering (ICGSE). 13-16
Subject of the Thesis
Provisional Title
- A framework for the evaluation and improvement of Data Quality from an
ISO/IEC 25000 perspective
Data Quality
-
Fitness for use
-
ISO/IEC 25012
- A General data quality model for data
-
ISO/IEC 25024
- Defines data quality measures
-
ISO 8000-8
- Fundamental concepts of information and data quality
Big Data
- Volume
- Velocity
- Variety
Objectives
- To know the state of the art in the area of data quality, data
management and ISO/IEC 25000 family. - To develop a “Measurement Framework for Data Quality”, in
which are defined how volume, velocity and variety should to
be measure and how affects to the data.
- To develop a data quality metamodel for store the data
quality measurement results in a data quality repository.
- To apply the “Measurement and Evaluation Framework for
Data Quality” in different organizations at national and
international level, in order to validate and refine through
case studies the proposed framework.