Model management and analytics for large scale systems /
Material type: TextPublisher: London, England : Academic Press, Elsevier Inc., [2020]Copyright date: ©2020Description: xxi, 322 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9780128166499
- 004.21 MOD 23
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Book Non-borrowing | Library D | Information Technology | 004.21 MOD (Browse shelf(Opens below)) | Not For Loan | 1004634 | |||
Book | Library D | Information Technology | 004.21 MOD (Browse shelf(Opens below)) | Available | 1004635 |
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.
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