Titlebook: Advances in Software Engineering; International Confer Tai-hoon Kim,Wai-Chi Fang,Kirk P. Arnett Conference proceedings 2009 Springer-Verlag

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The Prediction Model of Software Reliability Based on Fractals,of software, and failure analysis is an important part of the research of software reliability. An underlying assumption of these models is that software failures occur randomly in time. This assumption has never been quantitatively tested. But we try to predict software failures by fractal method.

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A Hybrid Approach for Designing an Adaptive User Interface: IDSS and BDI Agents,itate user performance, make the interaction more efficient, improve ease of use and assist the user in overcoming information overflow and help them use complex systems. Utilizing these advancements, we present an approach for the design of complex adaptive interface. This latter uses Intelligent A

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Rough Kohonen Neural Network for Overlapping Data Detection,high dimensional space into a small number of dimensions by placing similar elements close together, forming clusters. Recently researchers found that to capture the uncertainty involved in cluster analysis, it is not necessary to have crisp boundaries in some clustering operations. In this paper to

先行

Design and Implementation of a PC-Cluster Based Video-On-Demand Server,he VOD server has been proposed to offer the video-information to users efficiently. In the proposed scheme, two-Tier model has been adopted in the systematic architecture. The PC-Cluster is used to be the storage system of the VOD server and the load balancing mechanism in the proposed system is ba

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Using WordNet in Conceptual Query Expansion,ique using the comprehensive thesaurus WordNet and its semantic relatedness measure modules. Word sense disambiguation is performed on original query sentence, yielding the concept of each term in the query. Based on those recovered concepts, expanded query terms are generated from WordNet lexical d

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Pre-processing and Step-Size Adaptation for Performance Improvement in ADM,n the system. In order for the signal to have good fidelity, the slope-overload error need to be as small as possible. Adaptive delta modulation reduces the slope over load error to a greater extent. ADM attempts to increase the dynamic range and the tracking capabilities of fixed step-size delta mo

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https://doi.org/10.1007/978-3-642-10242-4HCI; HPC; UML; information sharing; meta modeling; reliability; requirements engineering; software engineer