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Flávio Medeiros

Researcher at Federal University of Campina Grande

Publications -  25
Citations -  524

Flávio Medeiros is an academic researcher from Federal University of Campina Grande. The author has contributed to research in topics: Preprocessor & Software system. The author has an hindex of 11, co-authored 25 publications receiving 467 citations. Previous affiliations of Flávio Medeiros include Federal University of Pernambuco.

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Proceedings ArticleDOI

A comparison of 10 sampling algorithms for configurable systems

TL;DR: In this article, the authors present a comparative study of 10 state-of-the-art sampling algorithms regarding their fault-detection capability and size of sample sets, and identify a number of technical challenges when trying to avoid the limiting assumptions, which questions the practicality of certain sampling algorithms.
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A Comparison of 10 Sampling Algorithms for Configurable Systems

TL;DR: In this paper, the authors present a comparative study of 10 state-of-the-art sampling algorithms regarding their fault-detection capability and size of sample sets, and identify a number of technical challenges when trying to avoid the limiting assumptions, which questions the practicality of certain sampling algorithms.
Proceedings ArticleDOI

The Love/Hate Relationship with the C Preprocessor: An Interview Study

TL;DR: The study shows that developers are aware of the criticism the C preprocessor receives, but use it nonetheless, mainly for portability and variability, and tends to mitigate problems with guidelines, even though those guidelines are not enforced consistently.
Journal ArticleDOI

Discipline Matters: Refactoring of Preprocessor Directives in the #ifdef Hell

TL;DR: A catalogue of refactoring is proposed and the number of application possibilities of the refactorings in practice, the opinion of developers about the usefulness of theRefactorings, and whether the refactings preserve behavior are evaluated.
Proceedings ArticleDOI

Investigating preprocessor-based syntax errors

TL;DR: A technique based on a variability-aware parser to find syntax errors in releases and commits of program families and classify the syntax errors into 6 different categories may guide developers to avoid them during development.