Model management and analytics for large scale systems /

Includes bibliographical references and index.

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.