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Using automated Control Charts for the Runtime Evaluation of QoS Attributes

Using automated Control Charts for the Runtime Evaluation of...

引用

13th IEEE International Symposium on High Assurance systems engineering, HASE 2011

作者： Amin, Ayman Colman, Alan Grunske, Lars Centre for Computing and Engineering Software Systems Faculty of Information and Communication Technologies Swinburne University of Technology Hawthorn VIC 3122 Australia Department of Computer Science Software Engineering: AG AQUA University of Kaiserslautern Kaiserslautern67653 Germany

ISBN: (纸本)9780769546155

As modern software systems operate in a highly dynamic context, they have to adapt their behaviour in response to changes in their operational environment or/and requirements. Triggering adaptation depends on detecting quality of service (QoS) violations by comparing observed QoS values to predefined thresholds. These threshold-based adaptation approaches result in late adaptations as they wait until violations have occurred. This may lead to undesired consequences such as late response to critical events. In this paper we introduce a statistical approach CREQA - Control Charts for the Runtime Evaluation of QoS Attributes. This approach estimates at runtime capability of a system, and then it monitors and provides early detection of any changes in QoS values allowing timely intervention in order to prevent undesired consequences. We validated our approach using a series of experiments and response time datasets from real world web services. © 2011 IEEE.

关键词： Quality of service

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Integration of cultural dimensions into software localisation testing of assistive technology for deaf children

Integration of cultural dimensions into software localisatio...

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2011 5th Malaysian Conference in software engineering, MySEC 2011

作者： Ping, Tan Ping Chan, Chiu Po Sharbini, Hamizan Julaihi, Azlina Ahmadi Department of Computing and Software Engineering Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Malaysia Department of Information Systems Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Malaysia Department of Computer System and Comm. Technologies Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Malaysia

ISBN: (纸本)9781457715310

Lack of hearing ability hinders deaf children from mastering grammar in language studies. Unfortunately, such software targeting Malay language is limited. This paper attempts to generate new approach in handling such software. These include detection of defects when switching into local languages, date format and accommodating the local laws. The acceptance of international software for local use goes beyond just these aspects. For this purpose, software that supports the multi-languages is evaluated. The main research question of this paper: The lack of cultural dimensions in localisation testing of assistive technology decreases the effectiveness of localisation testing of the localised software. On the account of cultural dimensions, Hofstede's Cultural Dimensions will be experimented to study which cultural dimensions are most suited for such software. From our empirical results, the failure rate of the testing is higher compared to incorporating culture dimensions. © 2011 IEEE.

关键词： Audition

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Fast parallel and adaptive updates for dual-decomposition solvers 25

Fast parallel and adaptive updates for dual-decomposition so...

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25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11

作者： Sümer, Özgür Acar, Umut A. Ihler, Alexander T. Mettu, Ramgopal R. Department of Computer Science University of Chicago IL United States Max-Planck Institute for Software Systems Germany Information and Computer Science University of California Irvine CA United States Department of Electrical and Computer Engineering University of Massachusetts Amherst MA United States

ISBN: (纸本)9781577355090

Dual-decomposition (DD) methods are quickly becoming important tools for estimating the minimum energy state of a graphical model. DD methods decompose a complex model into a collection of simpler subproblems that can be solved exactly (such as trees), that in combination provide upper and lower bounds on the exact solution. Subproblem choice can play a major role: larger subproblems tend to improve the bound more per iteration, while smaller subproblems enable highly parallel solvers and can benefit from re-using past solutions when there are few changes between iterations. We propose an algorithm that can balance many of these aspects to speed up convergence. Our method uses a cluster tree data structure that has been proposed for adaptive exact inference tasks, and we apply it in this paper to dual-decomposition approximate inference. This approach allows us to process large subproblems to improve the bounds at each iteration, while allowing a high degree of parallelizability and taking advantage of subproblems with sparse updates. For both synthetic inputs and a real-world stereo matching problem, we demonstrate that our algorithm is able to achieve significant improvement in convergence time. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Iterative methods

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Safe automotive software 1

引用

Lecture Notes in computer science

作者： Heckemann, Karl Gesell, Manuel Pfister, Thomas Berns, Karsten Schneider, Klaus Trapp, Mario Fraunhofer Institute for Experimental Software Engineering Fraunhofer-Platz 1 67663 Kaiserslautern Germany Embedded Systems Group Department of Computer Science University of Kaiserslautern Germany Robotics Research Lab. Department of Computer Science University of Kaiserslautern Germany

ISBN: (数字)9783642238666

ISBN: (纸本)9783642238659

For automotive manufacturers and tier-1 suppliers, the upcoming safety standard ISO 26262 results in new requirements for the development of embedded electronics and software. In particular, the variety of driver assistance systems that autonomously influence the driving dynamics of a vehicle may have a high risk potential and require development in accordance with the normative guidelines. But especially for those systems whose function is typically not based solely on hardware but on complex software algorithms, safety certification can be very complex or even impossible. In this paper the problems of development of vehicle systems according to ISO 26262 are described. Finally an approach for a safety-oriented reference architecture is presented that introduces adaptive software safety cages. This architecture enables application of formal verification methods. Supported by multisensor data fusion this allows to reduce safety requirements for vehicle control systems. © 2011 Springer-Verlag.

关键词： Control system synthesis

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Heart disease classification using neural network and feature selection

Heart disease classification using neural network and featur...

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21st International Conference on systems engineering, ICSEng 2011

作者： Khemphila, Anchana Boonjing, Veera Software Systems Engineering Laboratory Department of Mathematics and Computer Science King Mongkut's Institute of Technology Ladkrabang Chalongkrung Rd. Ladkrabang Bangkok 10520 Thailand

ISBN: (纸本)9780769544953

In this study, we introduces a classification approach using Multi-Layer Perceptron (MLP)with Back-Propagation learning algorithm and a feature selection algorithm along with biomedical test values to diagnose heart disease. Clinical diagnosis is done mostly by doctor's expertise and experience. But still cases are reported of wrong diagnosis and treatment. Patients are asked to take number of tests for diagnosis. In many cases, not all the tests contribute towards effective diagnosis of a disease. Our work is to classify the presence of heart disease with reduced number of attributes. Original, 13 attributes are involved in classify the heart disease. We use Information Gain to determine the attributes which reduces the number of attributes which is need to be taken from patients. The Artificial neural networks is used to classify the diagnosis of patients. Thirteen attributes are reduced to 8 attributes. The accuracy differs between 13 features and 8 features in training data set is 1.1% and in the validation data set is 0.82%. © 2011 IEEE.

关键词： Data mining

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Treeblazing: Using External Treebanks to Filter Parse Forests for Parse Selection and Treebanking 5

Treeblazing: Using External Treebanks to Filter Parse Forest...

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5th International Joint Conference on Natural language Processing, IJCNLP 2011

作者： MacKinlay, Andrew Dridan, Rebecca Flickinger, Dan Oepen, Stephan Baldwin, Timothy Dept of Computer Science and Software Engineering University of Melbourne Australia NICTA Victoria Research Laboratories University of Melbourne Australia Center for Study of Language and Information Stanford University United States Department of Informatics Universitetet i Oslo Norway

ISBN: (纸本)9789744665645

We describe "treeblazing", a method of using annotations from the GENIA treebank to constrain a parse forest from an HPSG parser. Combining this with self-training, we show significant dependency score improvements in a task of adaptation to the biomedical domain, reducing error rate by 9% compared to out-of-domain gold data and 6% compared to self-training. We also demonstrate improvements in treebanking efficiency, requiring 25% fewer decisions, and 17% less annotation time. © 2011 AFNLP

关键词： Forestry

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Service networks performance analytics: A literature review

Service networks performance analytics: A literature review

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作者： Carroll, Noel Wang, Yan Lero - The Irish Software Engineering Research Centre Department of Computer Science and Information Systems University of Limerick Limerick Ireland Eriss - European Research Institute in Service Science Department of Information Management Tilburg University Tilburg Netherlands

ISBN: (纸本)9789898425522

The success of developing service networks rely on obtaining a correct understanding of the end-to-end business processes. However, there are major concerns as to the lack of research efforts to examine methods to successfully manage the complexity of service networks. The insufficient communication efforts between business and technical experts results in a dissatisfactory service delivery and the inability to predict and measure the service network performance. This literature survey is initiated with purpose of finding a novel way to represent business processes in service networks and analyses the process performance. Specifically, we discuss the need to conceive tools and techniques to manage the complexity of service networks without jeopardising the performance of service networks and provide an overview of current simulation-based modelling approaches and optimising business processes.

关键词： Complex networks

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Service science: Introducing service networks performance analytics

Service science: Introducing service networks performance an...

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作者： Carroll, Noel Richardson, Ita Whelan, Eoin Lero - The Irish Software Engineering Research Centre Department of Computer Science and Information Systems University of Limerick Limerick Ireland Department of Management and Marketing Kemmy Business School University of Limerick Limerick Ireland

ISBN: (纸本)9789898425522

Although services are delivered across dispersed complex service eco-systems, monitoring performance becomes a difficult task. This paper explores a number of areas to support the development of service performance analytics within the discipline of service science. The paper provides a comprehensive account for the need to introduce modelling techniques to address the significant research void and explains how actor network theory (ANT) can be introduced as one of the core theories to examine service operations and performance. ANT sets out to develop an understanding on both how and why networks exist and to understand processes co-creation between human and non-human actors. By examining performance, this paper draws our attention towards the need to formulate methods to examine service network key performance indicators and the need to model service interaction, structure, and behaviour which impact on performance and consequently on service evolution.

关键词： Benchmarking

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Value-transformation for monotone prediction by approximating fuzzy membership functions

Value-transformation for monotone prediction by approximatin...

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12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011

作者： Horváth, Tomáš Eckhardt, Alan Buza, Krisztián Vojtáš, Peter Schmidt-Thieme, Lars Information Systems and Machine Learning Lab. University of Hildesheim Germany Department of Software Engineering Charles University Prague Czech Republic Department of Computer Science and Information Theory Budapest University of Technology and Economics Hungary Institute of Computer Science Pavol Jozef Šafárik University Košice Slovakia

ISBN: (纸本)9781457700453

Monotone prediction problems, in which the target variable is non-decreasing given an increase of the explanatory variables, have became more popular nowadays in many problem settings which fulfill the so-called monotonicity constraint, namely, if an object is better in all attributes as another one then it should not be classified lower. Recent approaches to monotone prediction consider linear ordering on attribute domains, thus the meaning of being better in an attribute is limited to having a larger or a lower value in that attribute. However, this limitation restricts the use of recent approaches in cases where middle or marginal values of an attribute are better, what is natural in many real-world scenarios. We present a simple attribute value-transformation approach in this paper. The idea is to map attribute domains to real values where the mapped values express how the given value of an attribute contributes to higher classification of objects. Thus, we are searching for an data-specific approximation of a fuzzy membership function on the domain of each (numerical) attribute. Then, instead of the original attribute values we use their mapped values to mitigate the violation of monotonicity constraints in the data. Our approach is quite simple and is not limited to numerical attributes only. The described approach was tested and evaluated on benchmark datasets from the UCI machine learning repository. © 2011 IEEE.

关键词： Forecasting

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Neighborhood-privacy protected shortest distance computing in cloud 11

Neighborhood-privacy protected shortest distance computing i...

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2011 ACM SIGMOD and 30th PODS 2011 Conference

作者： Gao, Jun Yu, Jeffrey Xu Jin, Ruoming Zhou, Jiashuai Wang, Tengjiao Yang, Dongqing Key Laboratory of High Confidence Software Technologies EECS Peking University Beijing China Department of Systems Engineering and Engineering Management Chinese University of Hong Kong Hong Kong Hong Kong Department of Computer Science Kent State University OH United States

ISBN: (纸本)9781450306614

With the advent of cloud computing, it becomes desirable to utilize cloud computing to efficiently process complex operations on large graphs without compromising their sensitive information. This paper studies shortest distance computing in the cloud, which aims at the following goals: i) preventing outsourced graphs from neighborhood attack, ii) preserving shortest distances in outsourced graphs, iii) minimizing overhead on the client side. The basic idea of this paper is to transform an original graph G into a link graph Gl kept locally and a set of outsourced graphs Go. Each outsourced graph should meet the requirement of a new security model called 1-neighborhood-d-radius. In addition, the shortest distance query can be answered using Gl and Go. Our objective is to minimize the space cost on the client side when both security and utility requirements are satisfied. We devise a greedy method to produce Gl and Go, which can exactly answer the shortest distance queries. We also develop an efficient transformation method to support approximate shortest distance answering under a given additive error bound. The final experimental results illustrate the effectiveness and efficiency of our method. © 2011 ACM.

关键词： Cloud computing

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