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We propose Guided Random Testing (GRT), which uses static and dynamic analysis to include information on program types, data, and dependencies in various stages of automated test generation. Static analysis extracts knowledge from the system under test. Test coverage is further improved through state fuzzing and continuous coverage analysis. We evaluated GRT on 32 real-world projects and found that...
While being highly automated and easy to use, existing techniques of random testing suffer from low code coverage and defect detection ability for practical software applications. Most tools use a pure black-box approach, which does not use knowledge specific to the software under test. Mining and leveraging the information of the software under test can be promising to guide random testing to overcome...
The article proposes to improve the active basis model by incorporating both unaligned training examples and non-alignable sketches in images. EM-type algorithm can learn the objects appear at unknown orientations, locations and scales in the training images. And non-alignable sketches can be summarized in average sketches over the image lattice. This article proposes to add the score of the non-alignable...
Seen from the three angles such as the evolution of the concepts of organizational communication, the tools used in research of organizational communication and the trends of organizational communication research at home and abroad, this paper has analyzed and summarized the review of organizational communication researches, and the author pointed out that the sports organizational communications'...
Although an abundance of research has emerged on technology adoption and acceptance, most has examined the usage behavior of different products in isolation. The current study instead focuses on usage-transfer behavior between technology products that are not substitutable. Drawing upon self-perception theory and entitativity theory, we proposed a research model and validated it using longitudinal...
This paper adopts combination of DWT and neural network methods to locate the text region. After analyzing the characteristic of video text, the feature of kurtosis is first used in the field of text extraction, which improves the locating accuracy considerably. The OCR accuracy is also improved by using the Shannon interpolation method and Niblack adaptive thresholding method to enhance the video...
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