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Porantim-opt: Optimizing the combined selection of model-based testing techniques

Porantim-opt: Optimizing the combined selection of model-bas...

引用

Workshop on Requirements and Validation, Verification, and Testing

作者： Neto, Arilo Claudio Dias De Freitas Rodrigues, Rosiane Travassos, Guilherme Horta Post-graduation Program In Informatics Computer Science Department Federal University of Amazonas Manaus AM Brazil Systems Engineering and Computer Science Program COPPE Federal University of Rio De Janeiro Rio De Janeiro RJ Brazil

ISBN: (纸本)9780769543451

The combination of testing techniques is considered an effective strategy to evaluate a software product. However, the selection of which techniques to combine in a software project has been an interesting challenge in the Software engineering field. This paper presents a proposal extending an approach developed to support the combined selection of model-based testing (MBT) techniques, named Porantim, applying Multiobjective Combinatorial Optimization strategy by determining the smallest dominating set in a bipartite and weighted graph. Thus, a local search strategy algorithm is proposed generating solutions aiming at maximizing the coverage of software project characteristics and skills required by the testing team to use the techniques and minimizing the eventual effort to construct models used for test cases generation. A preliminary evaluation analyzes this new approach when compared to the Porantim's original version, and the results indicate improvements in the MBT techniques selection. © 2011 IEEE.

关键词： Software testing

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A reconfigurable ray-tracing Multi-Processor SoC with hardware replication-aware instruction set extension

A reconfigurable ray-tracing Multi-Processor SoC with hardwa...

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13th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2013

作者： Nery, Alexandre S. Nedjah, Nadia França, Felipe M.G. Jozwiak, Lech Corporaal, Henk LAM - Computer Architecture and Microeletronics Laboratory Systems Engineering and Computer Science Program COPPE Federal University of Rio de Janeiro Brazil Department of Electronics Engineering and Telecommunications Faculty of Engineering State University of Rio de Janeiro Brazil Department of Electrical Engineering - Electronic Systems Eindhoven University of Technology Netherlands

ISBN: (纸本)9783319038582

Application code and processor parallelization, together with instruction set customization, are the most common and effective ways to enhance the performance and efficiency of application-specific processors (ASIPs). Both the effective code parallelization and data/task parallelism exploitation, as well as effective instruction set customization, enable an ASIP to achieve a significant performance improvement using limited extra hardware resources. However, a naive parallelization or instruction set customization may not result in the required performance improvement, leading to a waste of computing and energy resources. Therefore, when performing parallelization or custom instruction selection, complex tradeoffs between processing speed, circuit area and power consumption must be closely observed. In this paper, we propose and discuss an efficient ASIP-based Multi-Processor System-on-a-Chip (MPSoC) design for ray-tracing, exploiting application parallelism and hardware replication-aware instruction set customization. Without hardware sharing among the custom instructions units, the proposed parallel ray-tracer MPSoC design with custom instructions achieves 77% speed up in comparison to a single microprocessor design with the default instruction set. However, with the replication-aware instruction set customization, the speed up increases to 81%. © Springer International Publishing Switzerland 2013.

关键词： Integrated circuit design

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Supporting the selection of model-based testing approaches for software projects

Supporting the selection of model-based testing approaches f...

引用

3rd International Workshop on Automation of Software Test, AST 2008, held in Conjunction with the 30th International Conference on Software engineering, ICSE 2008

作者： Dias Neto, Arilo Claudio Travassos, Guilherme Horta Federal University of Rio de Janeiro Systems Engineering and Computer Science Program - COPPE/UFRJ P.O. Box 68511 21941-972 Rio de Janeiro RJ Brazil

ISBN: (纸本)9781605580302

Software technologies, such as model-based testing approaches, have specific characteristics and limitations that can affect their use in software projects. To make available knowledge regarding such technologies is important to support the decision regarding their use in software projects. In particular, a choice of model-based testing approach can influence testing success or failure. Therefore, this paper aims at describing knowledge acquired from a systematic review regarding model-based testing approaches and proposing an infrastructure towards supporting their selection for software projects. Copyright 2008 ACM.

关键词： Software testing

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Validating an unsupervised weightless perceptron

Validating an unsupervised weightless perceptron

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International Conference on Neural Information Processing

作者： I. Wickert F.M.G. Franca Computer Systems Engineering Program COPPE-UFRJ Rio de Janeiro Brazil

The paper presents a comparison between two unsupervised neural network models: (i) the well-known fuzzy ART, and (ii) AUTOWISARD, a new unsupervised version of the classic WISARD weightless neural network model. It is shown that AUTOWISARD is simple, fast and stable, whilst keeping compatibility with the original WISARD architecture. Experimental test results over binary patterns benchmarks have shown that, although both unsupervised learning models are remarkably simple, AUTOWISARD consistently exhibits better classification skills than fuzzy ART. It is also shown that such superiority happens thanks to AU-TOWISARD's richer internal representation of the trained patterns and the training methods employed by the algorithm, such as the learning window and partial training strategies.

关键词： Subspace constraints Neurons Fuzzy control Pattern recognition Fuzzy sets Resonance Testing Fuzzy neural networks Neural networks Stability

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A parallel Ray Tracing architecture suitable for application-specific hardware and GPGPU implementations

A parallel Ray Tracing architecture suitable for application...

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2011 14th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2011

作者： Nery, Alexandre S. Nedjah, Nadia Franca, Felipe M.G. Jozwiak, Lech LAM - Computer Architecture and Microelectronics Laboratory Systems Engineering and Computer Science Program COPPE Universidade Federal Rio de Janeiro Brazil Department of Electronics Engineering and Telecommunications Faculty of Engineering Universidade do Estado Rio de Janeiro Brazil Department of Electrical Engineering - Electronic Systems Eindhoven University of Technology Netherlands

ISBN: (纸本)9780769544946

The Ray Tracing rendering algorithm can produce high-fidelity images of 3-D scenes, including shadow effects, as well as reflections and transparencies. This is currently done at a processing speed of at most 30 frames per second. Therefore, actual implementations of the algorithm are not yet suitable for interactive real-time rendering, which is required in games and virtual reality based applications. Fortunately, the algorithm allows for massive parallelization of its computations. In this paper, we present a parallel architecture for ray tracing based on a uniform spatial subdivision of the scene and exploiting an embedded computation of ray-triangle intersections. This approach allows for a significant acceleration of intersection computations, as well as, a reduction of the total number of the required intersections checks. Furthermore, it allows for these checks to be performed in parallel and in advance for each ray. In this paper we discuss and analyze an ASIP-based implementation using FPGAs and a GPGPU-based parallel implementation of the proposed architecture. The performance of both implementations are reported and compared." © 2011 IEEE.

关键词： Ray tracing

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An interpolation-free and fitting-less sub-sample time-delay estimation algorithm

An interpolation-free and fitting-less sub-sample time-delay...

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International Conference on Health Informatics, ICHI 2013

作者： Teixeira, César A. Ruano, M. Graça Pereira, W.C.A. Centre for Informatics and Systems University of Coimbra Coimbra Portugal University of Algarve Faro Portugal Biomedical Engineering Program - COPPE Federal University of Rio de Janeiro-UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9783319030043

In this paper we propose a new algorithm for sub-sample time-delay estimation between two discrete-time signals. The new algorithm operates just over the discrete-time signals without the need for interpolation or fitting. The proposed method is compared with a method based on spline fitting, and that is referred to outperform other methods over a broader set of conditions (Viola&Walker, 2005). The new approach, besides presenting a low computational cost (70% less), seemed to outperforms the spline approach in situations of high noise levels (typically signal-to noise ratios smaller than 20dB). © 2014, Springer International Publishing Switzerland.

关键词： Interpolation

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Awareness and comprehension in software/systems engineering practice and education: Trends and research directions

Awareness and comprehension in software/systems engineering ...

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26th Brazilian Symposium on Software engineering, SBES 2012

作者： Schots, Marcelo Werner, Cláudia Mendonça, Manoel Systems Engineering and Computing Program COPPE/UFRJ Federal University of Rio de Janeiro Rio de Janeiro Brazil Computer Science Department Federal University of Bahia Rio de Janeiro Brazil

ISBN: (纸本)9780769548685

The creation of tools, techniques and methodologies to support the manipulation of large data sets has been receiving special attention of both scientific and industrial communities, in order to discover new ways of dealing with the underlying information, including learning purposes, identification of patterns, decision making support, amongst others. However, making use of computing resources to enhance awareness and understanding of software information and the software itself is still a challenge in software/systems engineering, since it involves the identification of suitable mechanisms, adequate abstractions, and studies on stimulation of the human perceptive and cognitive abilities. This paper presents some of the challenges in this context, based on current trends of software development lifecycle, program comprehension, and software engineering education. At the end, a special focus is given on ongoing research on using and improving current mechanisms for supporting software reuse practices and software comprehension in general. © 2012 IEEE.

关键词： Computer software reusability

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An estimation procedure to determine the effort required to model business processes

An estimation procedure to determine the effort required to ...

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作者： Cappelli, Claudia Santoro, Flávia Maria Nunes, Vanessa De Barros, Márcio O. Dutra, José Roberto Postgraduate Information Systems Program UNIRIO Av. Pasteur 458 Urca - Rio de Janeiro RJ Brazil COPPE/UFRJ Systems Engineering and Computer Science Program P.O. Box 68511 Rio de Janeiro RJ Brazil

ISBN: (纸本)9789898425065

Business processes modeling projects are increasingly widespread in organizations. Companies have several processes to be identified and modeled. They usually invest much in hiring expert consultants to do such job. However, they still find no guidelines to help them estimate how much a process modeling project will cost or how long this will take. We propose an approach to estimate the effort required to conduct a BPM project and discuss results obtained from over 50 projects in a large Brazilian company.

关键词： Process engineering

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Elastic neural net algorithm for cluster analysis

Elastic neural net algorithm for cluster analysis

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Brazilian Symposium on Neural Networks

作者： R.L. Salvini L.A. V. de Carvalho Program of Systems Engineering and Computer Science COPPE/UFRJ Rio de Janeiro Brazil

Proposes a method for data clustering in a n-dimensional space using the elastic net algorithm which is a variant of the Kohonen topographic map learning algorithm. The elastic net algorithm is a mechanical metaphor in which an elastic ring is attracted by points in a bi-dimensional space while their internal elastic forces try to shun the elastic expansion. The different weights associated with these two kinds of forces lead the elastic to a gradual expansion in the direction of the bi-dimensional points. In this method, the elastic net algorithm is employed with the help of a heuristic framework that improves its performance for application in the n-dimensional space of cluster analysis. Tests were made with two types of data sets: (1) simulated data sets with up to 1000 points randomly generated in groups linearly separable with up to dimension 10 and (2) the Fisher Iris Plant database, a well-known database referred to in the pattern recognition literature. The advantages of the method presented are its simplicity, its fast and stable convergence, beyond efficiency in cluster analysis.

关键词： Neural networks Clustering algorithms Algorithm design and analysis Databases Performance analysis Testing Test pattern generators Iris Pattern recognition Convergence

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Fully automatic Bayesian neural forecaster - NN GC1

Fully automatic Bayesian neural forecaster - NN GC1

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Ferreira, Vitor Hugo Alves Da Silva, Alexandre P. Electrical Engineering Department Niterói RJ 24210-240 Brazil COPPE/UFRJ Electrical Engineering Graduate Program Power Systems Laboratory P.O. Box 68504 Rio de Janeiro RJ 21945-972 Brazil

ISBN: (纸本)9781424469178

This paper combines several techniques to generate a fully data-driven forecasting model. Input selection is performed, without user intervention, by applying chaos theory and Bayesian inference. Afterwards, neural network models are estimated, without cross-validation, relying on data partitioning and Bayesian regularization for complexity control. Automatic data clustering has been used for data partitioning. The proposed forecasting model has been tested with datasets provided by the competition organizers. © 2010 IEEE.

关键词： Chaos theory

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