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Many of the object-oriented (OO) metrics that have been proposed over the last decade can be applied to measure internal quality attributes of class diagrams. This paper describes a tool that automates the computation of the important metrics that are applicable to the UML class diagrams. The tool collects information by parsing the XMI format of the class diagram to produce a meta-data for the class...
Compressing an image is a significant technique for the sake of saving a little more bandwidth or storage space. However, one of the main problems in vector quantization (VQ) is the high computational complexity of searching for the appropriate codeword in its codebook. To overcome this problem a fast search algorithm based on Tree-Hadamard Transform of the mean pyramid levels of the codewords is...
Fingerprint verification is a well-researched problem, and automatic fingerprint verification techniques have been successfully adapted to both civilian and forensic applications for many years. However, this technology suffers from the problem of handling incomplete prints and often discards any partial fingerprints obtained. Recent research has begun to delve into the problems of incomplete or partial...
This paper presents an automatic test-data generation technique that uses a genetic algorithm (GA) to generate test data that satisfy data-flow coverage criteria. The technique applies the concepts of dominance relations between nodes to define a new multi-objective fitness function to evaluate the generated test data. The paper also presents the results of a set of empirical studies conducted on...
In this paper, we proposed a new approach, called FiVaTech for the problem of Web data extraction. FiVaTech is a page-level data extraction system which deduces the data schema and templates for the input pages generated from a CGI program. FiVaTech uses tree templates to model the generation of dynamic Web pages. FiVaTech can deduce the schema and templates for each individual Deep Web site, which...
Heuristic methods based on biological aspects have been successfully used in many computer science areas of research, including information retrieval (IR). This let us ask: why there is no biological environment for the problem of information retrieval. In this paper, we tried to introduce a new biological environment for information retrieval that broad the modeling concept from the mathematical...
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