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Titlebook: Software Composition; 9th International Co Beno?t Baudry,Eric Wohlstadter Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 201

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書目名稱Software Composition
副標(biāo)題9th International Co
編輯Beno?t Baudry,Eric Wohlstadter
視頻videohttp://file.papertrans.cn/871/870682/870682.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Software Composition; 9th International Co Beno?t Baudry,Eric Wohlstadter Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 201
描述The goal of the International Conference on Software Composition is to advance the state of research on modularity and reuse in the context of software development based on components, services, features, or models. Software composition is becoming more and more important as innovation in software engineering shifts from the development of individual components to their reuse and recombination in novel ways. To this end, for the 2010 edition, researchers were solicited to contribute on topics such as component adaptation techniques, composition languages, modeling, as well as emerging composition techniques such as aspect-oriented programming, servi- oriented architectures, and mashups. In line with previous editions of SC, contri- tions were sought focusing on both theory and practice, with a particular interest in efforts relating them. This LNCS volume contains the proceedings of the 9th International Conference on Software Composition, which was held during July 1–2, 2010, as a collocated event of the TOOLS 2010 Federated Conferences, in Malaga, Spain.
出版日期Conference proceedings 2010
關(guān)鍵詞; NET; Ada; aspect-oriented systems; class-reuse; design; modeling; programming; requirements engineering; ro
版次1
doihttps://doi.org/10.1007/978-3-642-14046-4
isbn_softcover978-3-642-14045-7
isbn_ebook978-3-642-14046-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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Olena Rogovchenko,Jacques Malenfanterent feedback inactivations. Finally, by examining published clinical data we propose that the majority of tumor growth patterns found in the literature can be classified into five categories, which by themselves could reflect the different evolutionary events that drive tumor progression in differ
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Malte Appeltauer,Robert Hirschfeld,Hidehiko Masuhara,Michael Haupt,Kazunori Kawauchierent feedback inactivations. Finally, by examining published clinical data we propose that the majority of tumor growth patterns found in the literature can be classified into five categories, which by themselves could reflect the different evolutionary events that drive tumor progression in differ
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Adina Mosincat,Walter Binder,Mehdi Jazayeries, we restrict ourselves to studying the problem at a heuristic level, or we present themain ideas, discussing only some aspects of the proof if it is prohibitively technical..This book is principally addressed to researchers or PhD students who are interested in this or related fields of mathemati
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