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Relational-model based change management for non-functional requirements: Approach and experiment

Relational-model based change management for non-functional ...

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International Conference on Research Challenges in Information science, RCIS

作者： M. Kassab O. Ormandjieva M. Daneva Department of Software Engineering and Computer Science Concordia University Montreal Canada Department of Information Systems University of Twente Enschede Netherlands

In software industry, many organizations either focus their traceability efforts on Functional Requirements (FRs) or else fail entirely to implement an effective traceability process. Non-Functional Requirements (NFRs) such as security, safety, performance, and reliability are treated in a rather ad hoc fashion and are rarely traced. This is mainly because of the unique nature of NFRs. They are subjective, relative and they tend to become scattered among multiple modules when they are mapped from the requirements domain to the solution space. Furthermore, NFRs can often interact, in the sense that attempts to achieve one NFR can help or hinder the achievement of other NFRs at particular software functionality. Such an interaction creates an extensive network of interdependencies and tradeoffs among NFRs which is not easy to trace. In a previous work, we proposed a conceptualization of NFRs through the NFRs Ontology. In this paper, we extend the previous work by proposing a change management mechanism for tracing the impact of NFRs on the other constructs in the ontology such as FR or NFR operationalization and vice versa, and providing a traceability mechanism using Datalog expressions to implement queries on a relational model-based representation for the ontology. The proposed traceability queries are then evaluated through a multi-project variation quasi-experiment on regression testing conducted in the industry.

关键词： Security

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OPI model: A methodology for development metric based on outcome oriented

OPI model: A methodology for development metric based on out...

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International Joint Conference on computer science and software engineering (JCSSE)

作者： Kaenchan Thammarak Sarun Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut's Institute of Technology Bangkok Thailand

Metric is extremely important for software development. It is a tool for measuring software in both quantitative and qualitative aspects. In addition, metric can be used for determining an achievement of the goals. There are some problems that bring difficulties to the design and development of software metrics. Among them, a number of software perspectives that metrics must handle and the way to apply metrics results to support business outcomes are considered important. This paper proposes OPI as a model for implementing software metrics based on business outcomes. There are three steps in this model, defining outcomes (O), defining perspectives (P), and defining indicators (I). A case study has been developed to assess the use of the proposed model. Forty undergraduate students, who have basic knowledge in software metric, use the model to develop metrics from the case study. The preliminary evaluation is based on usability aspect. The result has show that 85 percents of the students think that the model is easy to understand, where 8 and 7 percents say that it is moderate and hard respectively.

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Transmission control policy design for decentralized detection in tree topology sensor networks

Transmission control policy design for decentralized detecti...

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International Conference on Information Fusion

作者： Ashraf Tantawy Xenofon Koutsoukos Gautam Biswas Institute of Software Integrated Systems (ISIS) and Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA

A Wireless Sensor Network (WSN) deployed for detection applications has the distinguishing feature that sensors cooperate to perform the detection task. Therefore, the decoupled design approach that is typically used to design communication networks, where each network layer is designed independently, does not lead to the desired optimal detection performance. Cross-layer design has been recently explored for the design of MAC protocols for parallel topology (single hop) networks, but little work has been done on the integration of communication and information fusion for tree networks. In this work, we design the optimal Transmission Control Policy (TCP) that coordinates the communication between sensor nodes connected in a tree configuration, in order to optimize the detection performance. We integrate the Quality of Information (QoI), Channel State Information (CSI), and Residual Energy Information (REI) for each sensor into the system model. We formulate a constrained nonlinear optimization problem to find the optimal TCP design variables. We solve the optimization problem using a hierarchical approach where smaller local optimization problems are solved by each parent node to find the optimal TCP design variables for its child nodes. We compare our design with the max throughput and decoupled design approaches.

关键词： Wireless sensor networks Wireless communication Topology Network topology Optimization Media Access Protocol

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Pro-active Advice to Improve the Efficiency of Self-Organizing Emergent systems

Pro-active Advice to Improve the Efficiency of Self-Organizi...

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IEEE Workshop on engineering of Autonomic and Autonomous systems (EASE)

作者： Torsten Steiner Jörg Denzinger Holger Kasinger Bernhard Bauer Institute of Software and Systems Engineering University of Augsburg Augsburg Germany Department of Computer Science University of Calgary Calgary Canada

An advisor autonomously improves the efficiency of self-organizing emergent multi-agent systems at runtime. It identifies tasks that the system has to perform recurringly. If the system performs these tasks inefficiently, the advisor will create so-called exception rules for the agents that enable them to perform these tasks more efficiently in the future. In contrast to the previously presented concept of ignore rules, a type of exception rule which only keeps the agents from doing certain tasks, in this paper we present the concept of pro-active rules. This type of exception rule allows the advised agents to already prepare for tasks before they are even announced to the system. Our experimental evaluation shows that a combination of these two rule types for the domain of dynamic pickup and delivery problems utilizes the advantages of both, improves previously badly handled problem instances, and additionally offers slight improvements for randomly created instances.

关键词： History Transportation Transforms Clustering algorithms computer architecture Multiagent systems Approximation methods

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Mobile Sensor Navigation Using Rapid RF-Based Angle of Arrival Localization

Mobile Sensor Navigation Using Rapid RF-Based Angle of Arriv...

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IEEE Symposium on Real-Time and Embedded Technology and Applications

作者： Isaac Amundson Xenofon Koutsoukos Janos Sallai Akos Ledeczi Institute for Software Integrated Systems (ISIS) Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA

Over the past decade, wireless sensor networks have advanced in terms of hardware design, communication protocols, resource efficiency, and other aspects. Recently, there has been growing interest in mobile wireless sensor networks, and several small-profile sensing devices that are able to control their own movement have already been developed. Unfortunately, resource constraints inhibit the use of traditional navigation methods, because these typically require bulky, expensive, and sophisticated sensors, substantial memory and processor allocation, and a generous power supply. Therefore, alternative navigation techniques are required. In this paper we present TripNav, a localization and navigation system that is implemented entirely on resource-constrained wireless sensor nodes. Localization is realized using radio interferometric angle of arrival estimation, in which bearings to a mobile node from a small number of infrastructure nodes are estimated based on the observed phase differences of an RF interference signal. The position of the mobile node is then determined using triangulation. A digital compass is also employed to keep the mobile node from deviating from the desired trajectory. We demonstrate using a real-world implementation that a resource-constrained mobile sensor node can accurately perform waypoint navigation with an average position error of 0.95 m.

关键词： Mobile communication Robot sensing systems Navigation Hardware Wireless sensor networks Radio interferometry Trajectory

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Transmission Control Policy design for decentralized detection in sensor networks

Transmission Control Policy design for decentralized detecti...

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International Conference on Distributed Computing in Sensor systems (DCOSS)

作者： Ashraf Tantawy Xenofon Koutsoukos Gautam Biswas Institute of Software Integrated Systems (ISIS) Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA

A Wireless Sensor Network (WSN) deployed for detection applications has the distinguishing feature that sensors cooperate to perform the detection task. Therefore, the decoupled design approach typically used to design communication networks, where each network layer is designed independently, does not lead to the desired optimal detection performance. Recent work on decentralized detection has addressed the design of MAC and routing protocols for detection applications by considering independently the Quality of Information (QoI), Channel State Information (CSI), and Residual Energy Information (REI) for each sensor. However, little attention has been given to integrate the three quality measures (QoI, CSI, REI) in the complete system design. In this work, we pursue a cross-layer approach to design a QoI, CSI, and REI-aware Transmission Control Policy (TCP) that coordinates communication between local sensors and the fusion center, in order to maximize the detection performance. We formulate and solve a constrained nonlinear optimization problem to find the optimal TCP design variables. We compare our design with the decoupled approach, where each layer is designed separately, in terms of the delay for detection and WSN lifetime.

关键词： Wireless sensor networks Wireless communication Optimization Channel models Media Access Protocol Delay

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PaNeCS: A modeling language for passivity-based design of networked control systems

PaNeCS: A modeling language for passivity-based design of ne...

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Mediterranean Conference on Control and Automation (MED)

作者： Emeka Eyisi Joseph Porter Nicholas Kottenstette Xenofon Koutsoukos Janos Sztipanovits Institute of Software Integrated Systems (ISIS) Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA

The rapidly increasing use of information technology in constructing real-world systems has led to the urgent need for a sound systematic approach in designing networked control systems. Communication delays and other uncertainties complicate the development and analysis of these systems. This paper describes a prototype modeling language for the design of networked control systems using passivity to decouple control design from network uncertainties. The modeling language includes an integrated analysis tool to check for passivity and code generators for simulation in MATLAB/Simulink using the TrueTime platform modeling toolbox and for running actual experiments. The resulting designs are by construction robust to platform effects and implementation uncertainties.

关键词： Biological system modeling

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A new share frequent itemsets mining using incremental BitTable knowledge

A new share frequent itemsets mining using incremental BitTa...

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International Conference on computer sciences and Convergence Information Technology (ICCIT)

作者： Chayanan Nawapornanan Veera Boonjing Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

The share measure has been proposed as an important measure for mining association rules. The value of share itemsets provides useful information such as total profits and total customer purchased quantities associated with itemsets in database. The share-frequent itemsets mining problems become a very important research issue in data mining. Existing share-frequent itemsets mining algorithms are based on static database so knowledge must be rebuilded when the minimum share threshold is changed or database is modified either appended or updated. This paper proposes a novel BitTable knowledge for incremental and interactive share-frequent itemsets mining in multiple minimum share thresholds without rebuilding BitTable knowledge. It is effective for incremental and interactive mining to take advantage of the previous BitTable knowledge and the previous mining results.

关键词： Itemsets Algorithm design and analysis Association rules computer science

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Policy-based approach for dynamic architectural adaptation: A case study on location-based system

Policy-based approach for dynamic architectural adaptation: ...

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Malaysian Conference in software engineering (MySEC)

作者： Abdehamid Abdelhadi Mansor Wan M. N. Wan Kadir Hidayah Elias Department of Computer Science Faculty of Mathematical Sciences University of Khartoum Khartoum Sudan Department of Software Engineering Faculty of Computer Science & Information Systems Universiti Teknologi Malaysia Johor Malaysia

Current research efforts are being directed to commit with the long-term view of self-management properties for wireless telecommunications. Technology has transformed the cell phone from being a mere phone to becoming an indispensable medium for contact, information and entertainment. The new paradigm in mobile services lies in providing a location-based user experience and here lies the tremendous scope for expansion of location-based services (LBS). One of the key approaches that have been recognized as an enabler of such a view is policy-based management, which has been mostly acknowledged as a methodology that provides adaptability and support to automatically assign network resources, control Quality of Service and security, by considering administratively specified rules. The hype of policy-based management was to commit with these features in run-time as a result of changeable network conditions resulting from the interactions of users, applications and existing resources. This paper proposes an adaptive architectural framework which deals with the critical nature of addressing the policy conflict problem. In this framework, policies are used as a mechanism to direct and adapt the behavior of self-adaptive systems. This policy-based framework consists of a set of processes, the self-coordinator process represents as the main process; which coordinates all the framework activities. Furthermore, the paper provides a guideline to avoid static and dynamic policy conflicts of different applications.

关键词： Wireless sensor networks Servers Wireless communication Context Heuristic algorithms Algorithm design and analysis Monitoring

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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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IEEE International Conference on systems engineering

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

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%.

关键词： Diseases Data mining Heart Accuracy Medical diagnostic imaging Neurons Databases

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