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Silvio Romero de Lemos Meira

Researcher at Federal University of Pernambuco

Publications -  242
Citations -  3286

Silvio Romero de Lemos Meira is an academic researcher from Federal University of Pernambuco. The author has contributed to research in topics: Software development & Software construction. The author has an hindex of 28, co-authored 241 publications receiving 3051 citations. Previous affiliations of Silvio Romero de Lemos Meira include Universidade de Pernambuco & Recife Center for Advanced Studies and Systems.

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A systematic mapping study of software product lines testing

TL;DR: Investigating state-of-the-art testing practices, synthesize available evidence, and identify gaps between required techniques and existing approaches, available in the literature are focused on.
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Using CMMI together with agile software development: A systematic review

TL;DR: Agile methodologies can be used by companies to reduce efforts in getting to levels 2 and 3 of CMMI, however, agile methodologies alone, according to the studies, were not sufficient to obtain a rating at a given level.
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Twenty-eight years of component-based software engineering

TL;DR: This paper addresses five dimensions of CBSE: main objectives, research topics, application domains, research intensity and applied research methods, and synthesizes the available evidence, identifies open issues and points out areas that call for further research.
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A systematic review of domain analysis tools

TL;DR: This article presents a systematic review of domain analysis tools that aims at finding out how the available tools offer support to the process and identifies that these tools are usually focused on supporting only one process and there are still gaps in the complete process support.
Proceedings ArticleDOI

Bagging Predictors for Estimation of Software Project Effort

TL;DR: It is shown that bagging with M5P/model trees considerably outperforms previous results reported in the literature obtained by both linear regression and RBF networks and obtains results comparable to those of SVR, with the advantage of producing more interpretable results.