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Research Square 2020年

作者： Abdalla, André Ströele, Victor Campos, Fernanda Braga, Regina David, José Maria N. Postgraduate Program in Computer Science Federal University of Juiz de Fora Juiz de Fora Brazil

Many application domains need to recommend resources for users. The development of solutions focused on the reuse of Recommender System components creates an interesting scenario from a Software Ecosystem perspective. Besides the interaction between actors and technology, a Software Ecosystem for the development of Recommender Systems should allow for integration with systems and platforms that support other ecosystems. The problem addressed by this study is the integration of methods, techniques, and approaches of existing Recommender Systems in a systematic way, facilitating the implementation of new solutions, their reuse and sharing, and the collaboration among the actors involved. This study, therefore, aims to propose ***, a Software Ecosystem platform to support the development and management of Recommender Systems, allowing for integration between multiple applications and other Software Ecosystems. The evaluation was conducted in two stages. First, two feasibility studies were carried out to validate both technology and architecture. Later, two case studies were conducted in real-world contexts. The results point to the viability of the proposal. © 2020, CC BY.

关键词： Recommender systems

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A Process to Analyze Software Ecosystem Social Dimension Through a Collaboration Perspective

A Process to Analyze Software Ecosystem Social Dimension Thr...

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International Conference on computer Supported Cooperative Work in Design

作者： Hugo Guércio Victor Ströele José Maria N. David Regina Braga Computer Science Postgraduate Program Federal University of Juiz de Fora Juiz de Fora Brazil

Development communities and the software industry increasingly adopt the Software Ecosystems approach (SECO). This approach can provide advantages but add additional complexity to resource management, affecting the software supply network. Observing SECOs, we can see through three dimensions: business, technical, and social. The social dimension focuses on stakeholders and how they interact with other dimensions. This paper presents a process for analyzing the social dimension of Software Ecosystems, supported by Complex Networks metrics, which allow the presentation of existing SECO relationships’ through visualizations and the use of complex networks. A preliminary evaluation with real data was carried out. The results point to the solution’s viability.

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An Evolutionary Analytic Center Classifier 9th

An Evolutionary Analytic Center Classifier

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9th Brazilian Conference on Intelligent Systems, BRACIS 2020

作者： Goulart, Renan Motta Villela, Saulo Moraes Borges, Carlos Cristiano Hasenclever Neto, Raul Fonseca Postgraduate Program in Computational Modeling Federal University of Juiz de Fora Juiz de ForaMinas Gerais Brazil Department of Computer Science Federal University of Juiz de Fora Juiz de ForaMinas Gerais Brazil

ISBN: (纸本)9783030613761

Classification is an essential task in the field of Machine Learning, where developing a classifier that minimizes errors on unknown data is one of its central problems. It is known that the analytic center is a good approximation of the center of mass of the version space that is consistent with the Bayes-optimal decision surface. Therefore, in this work, we propose an evolutionary algorithm, relying on the convexity properties of the version space, that evolves a population of perceptron classifiers in order to find a solution that approximates its analytic center. Hyperspherical coordinates are used to guarantee feasibility when generating new individuals and enabling exploration to be uniformly distributed through the search space. To evaluate the individuals we consider using a potential function that employs a logarithmic barrier penalty. Experiments were performed on real datasets, and the obtained results indicate concrete possibilities for applying the proposed algorithm for solving practical problems. © 2020, Springer Nature Switzerland AG.

关键词： Machine learning

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HEAL ME - An Architecture for Health Software Ecosystem Evaluation

HEAL ME - An Architecture for Health Software Ecosystem Eval...

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IEEE/ACM International Workshop on Software Engineering for Systems-of-Systems (SESoS)

作者： Iuri Carvalho Fernanda Campos Regina Braga José Maria N. David Victor Stroelle Marco Antônio Araújo Computer Science Postgraduate Program Federal University of Juiz de Fora Juiz de Fora Brazil

Software Ecosystems are complex environments. Several actors are grouped on a software platform, facilitating investments in research, development, and reuse of components. However, such investments may be lost if the ecosystem is not solid. Therefore, it is important to assess the health of an ecosystem. This work presents HEAL-ME architecture, which main goal is to evaluate the health of software ecosystems. A pilot case study using a scientific software ecosystem is also presented. Enhancements will be provided for a complete SECO health assessment.

关键词： Measurement Software Ecosystems computer architecture Ontologies Investment Companies

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Specify of Estimation Using C4.5 Algorithm of Software Project Estimation at the Point of Sales Application with Cocomo II 4

Specify of Estimation Using C4.5 Algorithm of Software Proje...

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4th International Conference on science and Technology, ICST 2018

作者： Novel, Kadinar Sfenrianto, Sfenrianto Gata, Windu Nainggolan, Kaman Wahyudi, Mochamad Jakarta Indonesia Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Master of Computer Science Postgraduate Programs STMIK Nusa Mandiri Jakarta Indonesia

ISBN: (纸本)9781538658130

In software development, it is required an appropriate estimate. One of the most commonly used software project estimation models is Constructive Cost Model(COCOMO II). The model is often used to obtain accurate results in estimating important factors such as cost and human resources. However, to obtain the more accurate estimation results, this study proposes a C4.5 algorithm based on COCOMO II estimation results. In this study, software project estimates are used in the Point of Sales (POS) applications. Based on these data with COCOMO II method, it is estimated that the schedule, staff, and cost are also specifying estimation from the result of COCOMO II using a C4.5 algorithm. The accuracy of the estimation results is around 90% with Algorithm C4.5. The value can be used as a reference for the development of the next POS software project. © 2018 IEEE.

关键词： Decision trees

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Semi-analytical finite element method applied for characterizing micropolar fibrous composites

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Applied Mathematics and Mechanics(English Edition) 2024年第12期45卷 2147-2164页

作者： J.A.OTERO Y.ESPINOSA-ALMEYDA R.RODRIGUEZ-RAMOS J.MERODIO School of Engineering and Sciences Monterrey Institute of TechnologyEstado de Mexico 52926Mexico Institute of Engineering and Technology Autonomous University of Ciudad JuarezCiudad JuarezChihuahua 32310Mexico Postgraduate Program in Computational Modeling in Science and Technology Federal Fluminense UniversityRıo de Janeiro 27255-125Brazil Faculty of Mathematics and Computer Science University of HavanaLa Habana 10400Cuba Department of Mathematics Applied to ICT School of Informatics Systems EngineeringTechnical University of MadridMadrid 28031Spain

A semi-analytical finite element method(SAFEM),based on the two-scale asymptotic homogenization method(AHM)and the finite element method(FEM),is implemented to obtain the effective properties of two-phase fiber-reinforced composites(FRCs).The fibers are periodically distributed and unidirectionally aligned in a homogeneous *** framework addresses the static linear elastic micropolar problem through partial differential equations,subject to boundary conditions and perfect interface contact *** mathematical formulation of the local problems and the effective coefficients are presented by the *** local problems obtained from the AHM are solved by the FEM,which is denoted as the *** numerical results are provided,and the accuracy of the solutions is analyzed,indicating that the formulas and results obtained with the SAFEM may serve as the reference points for validating the outcomes of experimental and numerical computations.

关键词： semi-analytical approach fiber-reinforced composite(FRC) effective property finite element method(FEM) asymptotic homogenization method(AHM) micropolar elasticity

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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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Features Reduction with PCA Technique for Malware Detection Using Machine Learning

Features Reduction with PCA Technique for Malware Detection ...

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International Conference on Computing, Engineering, and Design (ICCED)

作者： Teddy Mantoro Agung Ginanjar Media Anugerah Ayu Umar Aditiawarman Department of Computer Science Faculty of Engineering and Technology Sampoerna University Jakarta Indonesia Postgraduate Program - School of Computer Science Nusa Putra University Sukabumi Indonesia

Malware had been a problem for quite some times since it spreads easily and can cause various problems. Currently, malware is also one of the big threats for internet users. With a huge number of internet users today, techniques that can automatically detect malware before it infects the system is required. This study aims to develop malware detection using machine learning approach with Principal Component Analysis (PCA) as feature reduction. PCA (Principal Component Analysis) is expected to be able to reduce the number of features which then could also reduce the learning time but do not reduce its accuracy significantly. There were four machine learning classifiers used in this study, i.e. K-Nearest Neighbor, Decision Tree, Naïve bayes, and Random Forest. The n-components used in this study were 20 and 34 and the ratio of test and train in the dataset was 35% for test and 65% for training. The results have shown that the best performance come from the detection using random forest with 34 n-component and 100 n-estimator with the average accuracy was 0.991688.

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Evaluative Study Of Integration Of Clinic Management Information System With Pcare BPJS of health Using COBIT 4.1 Approach

Evaluative Study Of Integration Of Clinic Management Informa...

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International Conference on computer science, Information Technology, and Electrical Engineering

作者： Ely Mulyadi Kadek Yota Ernanda Aryanto I Made Candiasa Department of Information Technology Politeknik Negeri Jember Department of Computer Science of Postgraduate Program Universitas Pendidikan Ganesha

ISBN: (纸本)9781728134376

The aim purposed of this research is to evaluate clinical management information system called (E-CLINIC) which is integrated with the Primary Care (Pcare) application provided by Indonesia sosial healt insurance organization called BPJS Kesehatan to first level of health cares facility called as FKTP. This evaluation is intended to measure the maturity level on used of two integrated applications using COBIT 4.1 framework. The integration of the Clinic's management information system with PCare is considered to be the main resource that has strategic value to be able to manage information effectively and efficiently for the achievement of organizational goals. The results achieved have been running in accordance with the organization's business objectives, this can be seen from the level of maturity that reaches level 3 (Defined), which is a condition in which the organization has formal and written standard procedures that have been socialized to all levels of management and employees to be obeyed and run in daily activities.

关键词： E-Clinic MIS PCare BPJS COBIT Maturity Management Information Systems Maturity maturity level DNA Integration integration health level health clinic Daily Activities

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A Framework for Simulation Analysis of Delay Tolerant Routing Protocols

A Framework for Simulation Analysis of Delay Tolerant Routin...

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IEEE Conference on Vehicular Technology (VTC)

作者： Sathya Narayanan Eric McDonald Geoffrey G. Xie Computer Science and Information Technology Program California State University Seaside CA USA Department of Computer Science Naval Postgraduate School Monterey CA USA

A variety of network deployments in disaster recovery, fire fighting and military scenarios create networks that do not form a connected network all the time. In such scenarios, paths between a source and destination may be created over time when nodes encounter each other due to node mobility. Many routing algorithms that can route messages in such delay-tolerant networking (DTN) settings have been proposed. Each of these proposals presents simulation and/or analytical results to demonstrate improved performance in comparison with other known protocols. This paper proposes a common framework that defines multiple important components through which performance of these protocols can be compared using simulation experiments. This framework includes performance metrics that can be used for comparison, simulation environment, new mobility models and results in organizing the various known protocols based on their ability to predict a path. In a case study using the framework, we demonstrate how the predictive ability of PROPHET may or may not result in significant performance gains, depending on the mobility model.

关键词： Routing Routing protocols Delay Predictive models Analytical models

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