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Alexandre Alvaro

Researcher at Federal University of São Carlos

Publications -  54
Citations -  752

Alexandre Alvaro is an academic researcher from Federal University of São Carlos. The author has contributed to research in topics: Component-based software engineering & Software construction. The author has an hindex of 14, co-authored 52 publications receiving 702 citations. Previous affiliations of Alexandre Alvaro include Universidade de Pernambuco & Recife Center for Advanced Studies and Systems.

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Proceedings ArticleDOI

Smart cities software architectures: a survey

TL;DR: Based on different architectures with the most varied purposes, a set of requirements for the implementation of a smart city is presented and discussed.
Journal ArticleDOI

STING Millennium: a web-based suite of programs for comprehensive and simultaneous analysis of protein structure and sequence

TL;DR: Using SMS it is now possible to analyze sequence to structure relationships, the quality of the structure, nature and volume of atomic contacts of intra and inter chain type, relative conservation of amino acids at the specific sequence position based on multiple sequence alignment and indications of folding essential residue (FER) based on the relationship of the residue conservation to the intra-chain contacts.
Proceedings ArticleDOI

RiSE project: towards a robust framework for software reuse

TL;DR: This paper presents a robust framework for software reuse, based on previous success factors, in order to guide organizations in the effective reuse.
Proceedings ArticleDOI

A survey on software reuse processes

TL;DR: A detailed survey on software reuse processes is presented and it is shown that there are not available studies that compare the processes to develop reusable software.
Proceedings ArticleDOI

Brazilian smart cities: using a maturity model to measure and compare inequality in cities

TL;DR: This paper compares some of the Brazilian capital indicators and presents a maturity model called br-SCMM (Brazilian Smart City Maturity Model) developed to allow extracted indicators of public databases may be used to assist city managers.