Titlebook: Software Architecture; 15th European Confer Patrizia Scandurra,Matthias Galster,Danny Weyns Conference proceedings 2022 The Editor(s) (if a

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書目名稱Software Architecture影響因子(影響力)




書目名稱Software Architecture影響因子(影響力)學科排名




書目名稱Software Architecture網(wǎng)絡(luò)公開度




書目名稱Software Architecture網(wǎng)絡(luò)公開度學科排名




書目名稱Software Architecture被引頻次




書目名稱Software Architecture被引頻次學科排名




書目名稱Software Architecture年度引用




書目名稱Software Architecture年度引用學科排名




書目名稱Software Architecture讀者反饋




書目名稱Software Architecture讀者反饋學科排名

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978-3-031-15115-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Software Architecture978-3-031-15116-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Serving Hybrid-Cloud SQL Interactive Queries at?Twitter scalable and available query experience, a large-scale in-house SQL system is heavily relied on. Recently, we evolved the SQL system into a hybrid-cloud SQL federation system, compliant with Twitter’s Partly Cloudy strategy. The hybrid-cloud SQL federation system is capable of processing queries ac

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Blended Graphical and?Textual Modelling of?UML-RT State-Machines: An Industrial Experiencepress the excessive complex details of real systems and develop efficient architectures. Model Driven Engineering has emerged as a paradigm that enables not only abstraction but also automation. UML, an industry de-facto standard for modelling software systems, has established itself as a diagram-ba

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Mapping Source Code to?Modular Architectures Using Keywords Bayes, and it is trained using custom keywords for each architectural module. The mapper uses the path and file name of source code elements for prediction. We find that the needed keywords often match the module names; however, ambiguities and discrepancies exist. We evaluate the mapper using ten

POINT

Hierarchical Code-to-Architecture Mappinghecking (SACC) methods like Reflexion Modelling. InMap is an interactive and iterative code-to-architecture mapping recommendation approach that achieves a rather decent recall and precision of 0.97 and 0.82 respectively, using minimal architecture documentation to apply natural language techniques