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This paper proposes a new semi-supervised clustering framework to represent and integrate quantitative preferences on attributes. A new metric learning algorithm is derived that achieves a compromise clustering between a data-driven and a user-driven solution and converges with a good complexity. We observe experimentally that the addition of preferences may be essential to achieve a better clustering...
Quantitative description and complexity understanding of software architecture are difficult questions of software development. Taking The complexity evolution of VTK software version as an example, this paper proposes a model for predicting the complexity of software evolution based on logistic equation and quantitative validation of Lehman's law. Its basic idea is that the software architecture...
We present TerrainLOS, an outdoor propagation model that uses Digital Elevation Models to determine whether two nodes can communicate. We have implemented TerrainLOS in the sensor network simulator COOJA and used it to evaluate how the roughness of terrain, which we classify using Average Cumulative Visibility, affects the number of edges, connectedness, latency, and power of a network. We compare...
Model-driven engineering is a promising approach used to develop and analyze complex systems from different domains. In this paper, we focus on the safety aspect and introduce a methodology and associated framework for model-driven safety analysis (SA) of large critical systems. The methodology is meant to cope with design complexity and reduce time of SA process. The framework, called Sophia, supports...
The proposed work to focus on Human Computer Interface (HCI) system, which is design by the tasks based on cognitive model of KLM model and cognitive complexity theory in GOMS model. The test plan construct the numerical ability of mathematical solving problems based on ninth and tenth standard level, logical reasoning, perceptual speed accuracy of the student and brain dominant students in gender...
In many scientific fields, simulations and analyses require compositions of computational entities such as web-services, programs, and applications. In such fields, users may want various trade-offs between different qualities. Examples include: (i) performing a quick approximation vs. an accurate, but slower, experiment, (ii) using local slower execution environments vs. remote, but advanced, computing...
Business processes play an important role in organizations; however, not enough attention is given to analyzing and modeling errors in them. In this paper, we study syntactic and control flow error frequencies in business processes from real industry projects. Our samples come from a number of application domains such as Banking and Capital Markets, Insurance and Healthcare, and Retail. We consider...
In industry, embedded systems become complex multiple functionality devices. Research and industry have investigated the issue, how to derive test cases to cover test requirements within minimal time. For the automation of all activities related to testing tool support is available. Yet, one question is getting increasingly difficult: How to derive good, i.e. significant test cases, embracing requirements...
Delivering services cost-effectively benefits from economies of scale, not dissimilar to the production of goods. Customizing services to the specific needs of a customer - either the service interfaces or the delivery system - incurs additional costs of setting up the service delivery system to be able to fulfill a specific variant and the excess costs of operating this additional system. Service...
With the unceasing changing of the domestic foundational software's operational environment, its flexibility is a kind of exceedingly important and considering factor. In order to evaluate the flexibility of domestic foundational software, to decrease the loss caused by poor flexibility of software, this paper puts forward a user-oriented flexibility evaluation model. Based on the past research, this...
This paper describes a tool suite aimed at Functional Verification (FV) teaching in the context of VLSI circuits. FV is considered a major bottleneck in design cycles and one of the reasons is the lack of proper training. Therefore teaching it at the undergraduate or graduate levels is an important issue. This paper presents VEasy and describes the features that allow for lint analysis, simulation,...
In this paper we address the issue of the optimal candidate-set selection in the opportunistic routing paradigm. More specifically, although several algorithms for selecting the optimal candidate set have been proposed, to the best of our knowledge none of them has never considered the problem of selecting the optimal constrained candidate set, namely the optimal candidate set with a fixed maximum...
Kolmogorov complexity is the basis of algorithmic randomness theory. It quantifies the amount of information of individual object, which is measured by the size of its smallest algorithmic description. The concept of Kolmogorov complexity is used in many applications like spam filtering, data compression, information assurance etc. In this paper, we present the application of Kolmogorov complexity...
One of the prominent principles of designing services is the matter of how abstract services should be i.e. granularity. Since service-oriented analysis and design methods lack on providing a quantitative model for service granularity level evaluation, identification of optimally granular services is the key challenge in service-oriented solution development. This article through a systematic process...
Web services technology provides a way to integrate some distributed service units over the network into a coordinative system. Compared with the traditional enterprise application integration (EAI) techniques, it provides better interoperability for data exchange and application invocation. Therefore, it has been widely adopted for constructing distributed applications. Due to code invisibility and...
With increased complexity of software systems being developed; analysis of use case scenarios is gaining importance leading to effective test case identification during early part of the life cycle. Existing approaches provide various methods for analysis of UML activity diagrams and scenario path identification based on graph models of activity diagrams. In most cases these methods consider a single...
Object oriented development has proved its worth in today's system because its design and development is better, reliable and easier to access than the traditional methodologies. Due to updated requirements and lack of documentation in old systems has provided a motivation to revamp the systems. Rebuilding or redesigning the same system is highly expensive. To overcome this problem reverse engineering...
The measurement of a business process in the early stages of the lifecycle, such as the design and modelling stages, could reduce costs and effort in future maintenance tasks. In this paper we present a set of measures for assessing the structural complexity of business processes models at a conceptual level. The aim is to obtain useful information about process maintenance and to estimate the quality...
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