Authors:
Rosa Quelal
1
;
Luis Eduardo Mendoza
2
and
Mónica Villavicencio
1
Affiliations:
1
ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ingeniería en Electricidad y Computación, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil and Ecuador
;
2
ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ingeniería en Electricidad y Computación, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador, Processes and Systems Department, Simón Bolívar University, Valle de Sartenejas, P.O. Box 89000, Caracas and Venezuela
Keyword(s):
Agile Methodologies, Big Data, Systematic Literature Review, Text Mining.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Operational Research
;
Project Management
;
Software Engineering
;
Tools, Techniques and Methodologies for System Development
Abstract:
The concept of Big Data is being used in different business sectors; however, it is not certain which methodologies and process models have been used for the development of these kind of projects. This paper presents a systematic literature review of studies reported between 2012 and 2017 related to agile and non-agile methodologies applied in Big Data projects. For validating our review process, a text mining method was used. The results reveal that since 2016 the number of articles that integrate the agile manifesto in Big Data project has increased, being Scrum the agile framework most commonly applied. We also found that 44% of articles obtained from a manual systematic literature review were automatically identified by applying text mining.