Model management and analytics for large scale systems / edited by Bedir Tekinerdogan, Önder Babur, Loek Cleophas, Mark van den Brand, Mehmet Akşit.

Format Electronic
Publication InfoLondon, United Kingdom, : Academic Press, an imprint of Elsevier, [2020]
Descriptionxxi, 322 pages ; 24 cm
Supplemental ContentFull text available from eBook - Engineering 2019
Subjects
System analysis.

Other author/creatorTekinerdogan, Bedir, 1970-
Other author/creatorBabur, Önder.
Other author/creatorCleophas, Loek.
Other author/creatorBrand, Mark van den.
Other author/creatorAkşit, Mehmet.
Contents 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.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Issued in other formElectronic version: Model management and analytics for large scale systems. London, United Kingdom, : Academic Press, an imprint of Elsevier, [2020]
Genre/formElectronic books.
LCCN 2019944310
ISBN9780128166499 paperback
ISBN0128166495 paperback