Daniel Feitosa
University of Groningen
43 Papers
135 Citations
Daniel Feitosa is an academic researcher from University of Groningen. The author has contributed to research in topics: Computer science & Technical debt. The author has an hindex of 10, co-authored 34 publications. Previous affiliations of Daniel Feitosa include University of São Paulo.
Chat about Author
Papers
Consolidating a Process for the Design, Representation, and Evaluation of Reference Architectures
Elisa Yumi Nakagawa,Milena Guessi,José Carlos Maldonado,Daniel Feitosa,Flavio Oquendo +4 more
- 07 Apr 2014
TL;DR: Results achieved through the use of ProSA-RA have showed that it is a viable, efficient process and, as a consequence, it could contribute to the reuse of knowledge in several applications domains, by promoting the establishment of new reference architectures.
74
A systematic literature review on the use of big data for sustainable tourism
TL;DR: In this article, sustainable tourism research focuses on mitigating or remediating environmental, social and economic impacts on tourism, and big data approaches have been applied to the field of tourism.
74
Software reuse cuts both ways: An empirical analysis of its relationship with security vulnerabilities
TL;DR: It appears that source code reuse is neither a silver bullet to combat vulnerabilities nor a frightening werewolf that entail an excessive number of them, and a strong correlation between a higher number of dependencies and vulnerabilities is found.
55
An approach based on visual text mining to support categorization and classification in the systematic mapping
Katia Romero Felizardo,Elisa Yumi Nakagawa,Daniel Feitosa,Rosane Minghim,José Carlos Maldonado +4 more
- 12 Apr 2010
TL;DR: An approach to support categorization and classification stages in the systematic mapping using Visual Text Mining, aiming at reducing time and effort required in this process, and the application of VTM seems to be very relevant in the context of systematic mapping.
Investigating the effect of design patterns on energy consumption
TL;DR: This paper investigates pattern‐participating methods (ie, those that play a role within the pattern) and compares their energy consumption to the consumption of functionally equivalent alternative (nonpattern) solutions and suggests that for the majority of cases the alternative design excels in terms of energy consumption.