A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems

Abstract

The models and data framework demystifies the different roles that models and data play in software development and operation and clarifies where machine learning and artificial intelligence techniques could be used.

Publication DOI: https://doi.org/10.1109/MS.2020.2995125
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Data models,Mathematical model,Numerical models,Predictive models,Sociotechnical systems,Software,Unified modeling language,Software
Publication ISSN: 1937-4194
Last Modified: 14 May 2024 07:14
Date Deposited: 10 Jun 2020 11:18
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://ieeexpl ... ocument/9094197 (Publisher URL)
PURE Output Type: Article
Published Date: 2021-07-01
Published Online Date: 2020-05-15
Accepted Date: 2020-05-01
Authors: Combemale, Benoit
Kienzle, Jorg Andreas
Mussbacher, Gunter
Ali, Hyacinth
Amyot, Daniel
Bagherzadeh, Mojtaba
Batot, Edouard
Bencomo, Nelly (ORCID Profile 0000-0001-6895-1636)
Benni, Benjamin
Bruel, Jean Michel
Cabot, Jordi
Cheng, Betty H.C.
Collet, Philippe
Engels, Gregor
Heinrich, Robert
Jezequel, Jean Marc
Koziolek, Anne
Mosser, Sebastien
Reussner, Ralf
Sahraoui, Houari
Saini, Rijul
Sallou, June
Stinckwich, Serge
Syriani, Eugene
Wimmer, Manuel

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