Model management and analytics for large scale systems
Part 1. Concepts and challenges -- Introduction to model management and analytics -- Challenges and directions for a community infrastructure for big data-driven research in software architecture -- Model clone detection and its role in emergent model pattern mining -- Domain-driven analysis of arch...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
London, San Diego, CA, Cambridge, MA, Oxford
Academic Press
2020
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| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | Part 1. Concepts and challenges -- Introduction to model management and analytics -- Challenges and directions for a community infrastructure for big data-driven research in software architecture -- Model clone detection and its role in emergent model pattern mining -- Domain-driven analysis of architecture reconstruction methods -- Part 2. Methods and tools -- Monitoring model analytics over large repositories with Hawk and MEASURE -- Model analytics for defect prediction based on design-level metrics and sampling techniques -- Structuring large models with MONO: notations, templates, and case studies -- Delta-oriented development of model-based software product lines with DeltaEcore and SIPL: a comparison -- OptML framework and its application to model optimization -- Part 3. Industrial applications -- Reducing design time and promoting evolvability using domain-specific languages in an industrial context -- Model analytics for industrial MDE ecosystems. |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xxi, 322 Seiten Diagramme 24 cm |
| ISBN: | 9780128166499 978-0-12-816649-9 0128166495 0-12-816649-5 |