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Titlebook: Computational Science and Its Applications -- ICCSA 2013; 13th International C Beniamino Murgante,Sanjay Misra,Osvaldo Gervasi Conference p

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Multi Back-Ends for a Model Library Abstraction Layertant either as a means of communication or as parts of realizations. Unfortunately, these models are rarely reused which might be due to poor tool support..A model recommender system is one possible way out, but it bases on high quality data which is most likely stored in a database and needs to ble
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Explicit Untainting to Reduce Shadow Memory Usage and Access Frequency in Taint Analysises being done on efficiently finding software vulnerabilities to eliminate them. General program testing method for finding flaws in software can be categorized into whitebox and blackbox testing. In whitebox testing, tester examines the internals of the target program such as source codes while in
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Comparing Software Architecture Descriptions and Raw Source-Code: A Statistical Analysis of Maintainone of the most important quality attributes. In this work we performed a statistical analysis of maintainability metrics in three mainstream open-source applications, Tomcat (webserver), Jedit (text editor) and Vuze (a peer to peer client). The metrics are applied to source-code and to derived simi
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Systematic Mapping of Architectures for Telemedicine Systemscuracy of medical diagnoses through the provision of a second opinion, and remote patient monitoring. Accordingly, the number of software solutions is increasing. Software Architecture is a subarea of Software Engineering whose goal is to study the system components, their external properties, and t
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Architectural Model for Generating User Interfaces Based on Class Metadata tend to ignore them, once it takes a lot of time and effort for duplicated pieces of code to be found and eliminated. To address this issue, the present work presents a new model for source code generation for user interface development. The generation process happens at runtime, each time a page i
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A Novel Fuzzy Co-occurrence Matrix for Texture Feature Extractionication. This classification is not an easy problem since texture can be non-uniform due to many reasons, e.g., rotation, scale, and etc. To help in this process, a good feature extraction method is needed. In this paper, we incorporate the fuzzy C-means (FCM) into the gray level co-occurrence matri
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