SPRINGER

SOFTWARE SIMILARITY AND CLASSIFICATION

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EditoraKobo	Springer London
IdKobo	69a682d4-8011-476c-9cda-e26d93aa939a
Sinopse	Software similarity and classification is an emerging topic with wide applications. It is applicable to the areas of malware detection, software theft detection, plagiarism detection, and software clone detection. Extracting program features, processing those features into suitable representations, and constructing distance metrics to define similarity and dissimilarity are the key methods to identify software variants, clones, derivatives, and classes of software. Software Similarity and Classification reviews the literature of those core concepts, in addition to relevant literature in each application and demonstrates that considering these applied problems as a similarity and classification problem enables techniques to be shared between areas. Additionally, the authors present in-depth case studies using the software similarity and classification techniques developed throughout the book.
Editora	SPRINGER
Colaborador	Autor:YANG XIANG\|Autor:SILVIO CESARE
Ano	2012
Formato	ePub
País	CANADA
Origem	Importado

SOFTWARE SIMILARITY AND CLASSIFICATION