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Big data analytics in Agile software development: A systematic mapping study

Author
Biesialska, K.; Franch, X.; Muntés, V.
Type of activity
Journal article
Journal
Information and software technology
Date of publication
2021-04
Volume
132
Number
article 106448
First page
1
Last page
25
DOI
10.1016/j.infsof.2020.106448
Project funding
(GENESIS) Generation and Evolution of Smart APIs
Repository
http://hdl.handle.net/2117/339675 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0950584920301981 Open in new window
Abstract
Context: Over the last decade, Agile methods have changed the software development process in an unparalleled way and with the increasing popularity of Big Data, optimizing development cycles through data analytics is becoming a commodity. Objective: Although a myriad of research exists on software analytics as well as on Agile software development (ASD) practice on itself, there exists no systematic overview of the research done on ASD from a data analytics perspective. Therefore, the objective...
Citation
Biesialska, K.; Franch, X.; Muntés, V. Big data analytics in Agile software development: A systematic mapping study. "Information and software technology", Abril 2021, vol. 132, núm. article 106448, p. 1-25.
Keywords
Agile software development, Artificial intelligence, Data analytics, Literature review, Machine learning, Software analytics
Group of research
GESSI - Group of Software and Service Engineering
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants