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Rui Abreu
Researcher at University of Lisbon
Publications - 187
Citations - 6669
Rui Abreu is an academic researcher from University of Lisbon. The author has contributed to research in topics: Debugging & Fault (power engineering). The author has an hindex of 34, co-authored 184 publications receiving 5189 citations. Previous affiliations of Rui Abreu include University of Porto & IEEE Computer Society.
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Journal ArticleDOI
A Survey on Software Fault Localization
TL;DR: A comprehensive overview of a broad spectrum of fault localization techniques, each of which aims to streamline the fault localization process and make it more effective by attacking the problem in a unique way is provided.
Proceedings ArticleDOI
On the Accuracy of Spectrum-based Fault Localization
TL;DR: This work investigates diagnostic accuracy as a function of several parameters (such as quality and quantity of the program spectra collected during the execution of the system), some of which directly relate to test design, and indicates that the superior performance of a particular similarity coefficient, used to analyze the programSpectrum-based fault localization, is largely independent of test design.
Proceedings ArticleDOI
An Evaluation of Similarity Coefficients for Software Fault Localization
TL;DR: Different similarity coefficients that are applied in the context of a program spectral approach to software fault localization (single programming mistakes) show different effectiveness in terms of the position of the actual fault in the probability ranking of fault candidates produced by the diagnosis technique.
Journal ArticleDOI
A practical evaluation of spectrum-based fault localization
TL;DR: This work investigates diagnostic accuracy as a function of several parameters (such as quality and quantity of the program spectra collected during the execution of the system) and shows that SFL can effectively be applied in the context of embedded software development in an industrial environment.
Proceedings ArticleDOI
Spectrum-Based Multiple Fault Localization
TL;DR: Experimental results show that BARINEL typically outperforms current SFL approaches at a cost complexity that is only marginally higher, and this superiority is established by formal proof.