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19th International Conference on Evaluation of Novel Approaches to software engineering, ENASE 2024

作者： Baumgartner, Nils Pulvermüller, Elke Software Engineering Research Group School of Mathematics/Computer Science/Physics Osnabrück University Osnabrück49090 Germany

ISBN: (纸本)9789897586965

This study investigated the characteristics of data clumps in UML class diagrams. Data clumps are group of variables which appear together in multiple locations. In this study we compared the data clumps characteristics in UML class diagrams with them of source code projects. By analyzing the extensive Lindholmen and GenMyModel datasets, known for their real–world applicability, diversity, and containing more than 100,000 class diagrams in total, significant differences in the distribution and nature of data clumps were revealed. Approximately 19 % of the analyzed class diagrams contained data clumps. It was observed that field–field data clumps predominated in UML class diagrams, particularly in the GenMyModel dataset, while parameter–parameter data clumps were less frequent. Moreover, in contrast to the distribution in source code projects, data clumps in UML class diagrams were typically distributed across multiple classes or interfaces, forming larger chains. parameter–parameter data clumps were predominant in source code projects, indicating more detailed implementation of methods in these projects. These findings reflect different modeling approaches and paradigms among the respective user groups. This study has provided important insights regarding the development of UML modeling tools, teaching methods, and design practices in software development. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Design

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Performance analysis of broadcasting in small-scale multi-radio multi-channel wireless mesh networks

Performance analysis of broadcasting in small-scale multi-ra...

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14th International Conference on Advanced Communication Technology, ICACT 2012

作者： Avokh, Avid Mirjalily, Ghasem Department of Electrical Engineering Najafabad Branch Islamic Azad University Isfahan Iran Faculty of Electrical and Computer Engineering Computer and Communication Networks Research Group Yazd University Yazd Iran

ISBN: (纸本)9788955191639

Multi Radio Multi Channel Wireless Mesh networks (MRMC-WMNs) are undergoing rapid progress and inspiring numerous deployments. These networks require carefully assignment of resources and load balancing to provide the quality guarantees to traffic flows. Load balancing avoids the creation of bottlenecks and increases the network efficiency. Certainly, we need a benchmark to compare the performance of different load balancing mechanisms. In this paper, we consider the scenario of bandwidth-guaranteed broadcast sessions, where each session has a specific bandwidth requirement. The aim of this research is to analyze the performance of broadcasting in small-scale MRMC-WMNs. By considering Wireless Broadcast Advantage (WBA), we formulate channel and node constraints and propose Traffic engineering Efficiency to evaluate the load balancing ability of algorithms. Deriving analytical relationships between throughput, number of transmissions, node and channel utilization is other contribution of this paper. In order to confirm the accuracy of derived analysis, we present some simulations on typical networks. © 2012 GIRI.

关键词： Mesh generation

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Enhanced forwarding strategy in metro Ethernet networks

Enhanced forwarding strategy in metro Ethernet networks

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14th International Conference on Advanced Communication Technology, ICACT 2012

作者： Faghani, Farhad Rastgou, Abbas Mirjalily, Ghasem Department of Electrical Engineering Najafabad Branch Islamic Azad University Isfahan Iran Faculty of Electrical and Computer Engineering Computer and Communication Networks Research Group Yazd University Yazd Iran

ISBN: (纸本)9788955191639

Spanning Tree Protocol (STP) is an approved standard protocol that provides a tree forwarding topology in Ethernet networks. Tree topology ensures a unique path from any node to every other node in the network. One of the main disadvantages of STP is its poor load balancing capabilities that results in uneven load distribution and bottlenecks. In our previous work, we have suggested Shortcut Switching Strategy (SSS) to overcome this problem. SSS improves load balancing by using some blocked links to forward traffic. In this paper, we propose a novel forwarding strategy named Enhanced Forwarding Strategy (EFS) that enhances the performance of SSS. Simulation results show that this new strategy decreases the traffic load on links and switches and has a good load balancing performance. © 2012 GIRI.

关键词： Topology

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Improving regression testing transparency and efficiency with history-based prioritization - An industrial case study

Improving regression testing transparency and efficiency wit...

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4th IEEE International Conference on software Testing, Verification, and Validation, ICST 2011

作者： Engström, Emelie Runeson, Per Ljung, Andreas Software Engineering Research Group Dept. of Computer Science Lund University Sweden Sony Ericsson Mobile Communications Sweden

ISBN: (纸本)9780769543420

Background: History based regression testing was proposed as a basis for automating regression test selection, for the purpose of improving transparency and test efficiency, at the function test level in a large scale software development organization. Aim: The study aims at investigating the current manual regression testing process as well as adopting, implementing and evaluating the effect of the proposed method. Method: A case study was launched including: identification of important factors for prioritization and selection of test cases, implementation of the method, and a quantitative and qualitative evaluation. Results: 10 different factors, of which two are history-based, are identified as important for selection. Most of the information needed is available in the test management and error reporting systems while some is embedded in the process. Transparency is increased through a semi-automated method. Our quantitative evaluation indicates a possibility to improve efficiency, while the qualitative evaluation supports the general principles of history-based testing but suggests changes in implementation details. © 2011 IEEE.

关键词： Transparency

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NetMind+: Adaptive Baseband Function Placement With GCN Encoding and Incremental Maze-Solving DRL for Dynamic and Heterogeneous RANs

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IEEE Transactions on Network and Service Management 2025年

作者： Li, Haiyuan Li, Peizheng Assis, Karcius Day Parra, Juan Marcelo Aijaz, Adnan Yan, Shuangyi Simeonidou, Dimitra University of Bristol High Performance Networks Group Smart Internet Lab Department of Electrical and Electronic Engineering BS8 1QU United Kingdom Toshiba Europe Ltd Bristol Research and Innovation Laboratory BS1 4ND United Kingdom Electrical and Computer Engineering Department Brazil

The disaggregated architecture of advanced Radio Access networks (RANs) with diverse X-haul latencies, in conjunction with resource-limited multi-access edge computing networks, presents significant challenges in designing a general model in placing baseband and user plane functions to accommodate versatile 5G services. This paper proposes a novel approach, NetMind+, which leverages Deep Reinforcement Learning (DRL) to determine the function placement strategies in diverse and evolving RAN topologies, aiming at minimizing power consumption. NetMind+ resolves the problem with a maze-solving strategy, enabling a Markov Decision Process with standardized action space scales across different networks. Additionally, a Graph Convolutional Network (GCN) based encoding and an incremental learning mechanism are introduced, allowing features from different and dynamic networks to be aggregated into a single DRL agent. This facilitates the generalization capability of DRL and minimizes the negative retraining impact. In an example with three sub-networks, NetMind+ demonstrates a substantial 32.76% improvement in power savings and a 41.67% increase in service stability compared to benchmarks from the existing literature. Compared to traditional methods necessitating a dedicated DRL agent for each network, NetMind+ attains comparable performance with 70% of the training cost savings. Furthermore, it demonstrates robust adaptability during network variations, accelerating training speed by 50%. © 2004-2012 IEEE.

关键词： Deep reinforcement learning

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Testing requirements for mobile applications

Testing requirements for mobile applications

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International International Symposium on computer and Information Sciences (ISCIS)

作者： Valeria Lelli Leitao Dantas Fabiana Gomes Marinho Aline Luiza da Costa Rossana M. C. Andrade Group of Computer Networks Software Engineering and Systems GREat Federal University of Ceará Brazil Group of Computer Networks Software Engineering and Systems Federal University of Ceará Brazil Group of Computer Networks Software Engineering and Systems GREat Federal University of Ceará UFC Brazil

Wireless networks have contributed to the technological advance that popularized the use of mobile devices, and fostered the development of applications targeted to these devices. However, issues such as mobility and communication intermittency, as well as processing, storage and battery constraints demand changes in the traditional software testing process. This paper aims to present testing requirements that are specific to applications developed for mobile devices. We also show that these requirements can improve productivity and efficacy in the testing process of an application.

关键词： Application software software testing Mobile computing Batteries Mobile communication Productivity Context Network interfaces Personal digital assistants software quality

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MASAT: Model-based automated security assessment tool for cloud computing 11

MASAT: Model-based automated security assessment tool for cl...

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11th International Conference on Information Assurance and Security, IAS 2015

作者： Mjihil, Oussama Kim, Dong Seong Haqiq, Abdelkrim Computer Networks Mobility and Modeling Laboratory FST Hassan 1st University Settat Morocco Department of Computer Science and Software Engineering University of Canterbury New Zealand E-NGN Research Group Africa and Middle East South Africa

ISBN: (纸本)9781467387156

Security assessment and mitigation have gained considerable attention over the recent years according to the information technology evolution and its broad adoption. Organizations are more aware of their data security, and they also have become more exigent in terms of extensibility and flexibility of their Information Technology infrastructures. Cloud computing is introduced as an evolution of information technology that offers major solutions and techniques to meet the evolving requirements of both tenants and clients. Therefore, extensibility and dynamic adjustment, which are among the most essential Cloud advantages, can make the security analysis a very hard task. There have been many approaches to analyze automatically the cyber security of traditional IT infrastructures without taking into account the new Cloud features, such as the nested virtualization. Until now, there is a few work to assess the security of Cloud computing. In this paper, we propose a novel approach to design and develop Model-based Automated Security Assessment Tool named MASAT. © 2015 IEEE.

关键词： Virtualization

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Local broadcasting in the physical interference model 08

Local broadcasting in the physical interference model

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5th ACM SIGACT-SIGOPS International Workshop on Foundations of Mobile Computing, DIALM-POMC

作者： Goussevskaia, Olga Moscibroda, Thomas Wattenhofer, Roger Computer Engineering and Networks Laboratory ETH Zurich 8092 Zurich Switzerland Systems and Networking Research Group Microsoft Research Redmond WA 98052 United States

ISBN: (纸本)9781605582443

In this work we analyze the complexity of local broadcasting in the physical interference model. We present two distributed randomized algorithms: one that assumes that each node knows how many nodes there are in its geographical proximity, and another, which makes no assumptions about topology knowledge. We show that, if the transmission probability of each node meets certain characteristics, the analysis can be decoupled from the global nature of the physical interference model, and each node performs a successful local broadcast in time proportional to the number of neighbors in its physical proximity. We also provide worst-case optimality guarantees for both algorithms and demonstrate their behavior in average scenarios through simulations. © 2008 ACM.

关键词： Parallel algorithms

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Does optical burst switching have a role in the core network?

Does optical burst switching have a role in the core network...

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OFC/NFOEC 2005 Optical Fiber Communication Conference

作者： Parthiban, R. Tucker, Rodney S. Leckie, C. Zalesky, A. Tran, A.V. ARC Special Research Centre for Ultra-Broadband Information Networks Department of Electrical and Electronic Engineering University of Melbourne Australia ARC Special Research Centre for Ultra-Broadband Information Networks Department of Computer Science and Software Engineering University of Melbourne Australia

We show that Optical Burst Switching (OBS) does not appear to be a viable option for routing in the core network. In order to achieve an acceptably low blocking probability, OBS networks will require an uneconornicall... 详细信息

ISBN: (纸本)1557527830

关键词： Optical switches

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Detection of brain tumor and identification of tumor region using deep neural network on FMRI images 19

Detection of brain tumor and identification of tumor region ...

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19th International Conference on Machine Learning and Cybernetics, ICMLC 2020

作者： Mashiat, Afsara Akhlaque, Reza Rifat Fariha, Fahmeda Hasan Reza, Tanzim Rahman, Md Anisur Parvez, Mohammad Zavid Brac University Software Engineering and HCI Research Group Department of Computer Science and Engineering Bangladesh Charles Sturt University School of Computing and Mathematics Australia

ISBN: (纸本)9780738124261

As brain is the most vital organ of the human body, the affects of brain related diseases can be severe. One of the most harmful diseases is brain tumor, which results in a very short life expectancy of the affected patient. Detection of brain tumor is a challenging task in the early stages. Still, with the help of modern technology and machine learning algorithms, it has become a matter of great interest for research. While detecting the brain tumor of an affected person, we are considering the fMRI data of the patient. Our aim is to identify whether the tumor is present in the patient's brain or not. We use a Convolutional Neural Network(CNN) that is good enough to generate high accuracy. We have used some deeper architecture design VGG16, VGG19, and Inception v3 for better accuracy. Three classification techniques are used namely binary classification, lobe based classification, and position based classification. The main contribution of our proposed work is that we have identified the specific region of the brain where the tumor is located. The region-based classification distinguishes our work from others that are applied on the same dataset. For binary classification, we found approximately 95% accuracy from all the three architectures. Furthermore, we found approximately 78% accuracy for lobe based classification and approximately 97% accuracy for position based classification. The experimental results indicate the superiority of our proposed method in terms of identifying the brain tumor. © 2020 IEEE.

关键词： Brain

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