A Method for Directly Deriving a Concise Meta Model from Example Models

Title data

Roth, Bastian ; Jahn, Matthias ; Jablonski, Stefan:
A Method for Directly Deriving a Concise Meta Model from Example Models.
In: Zimmermann, Alfred (ed.): PATTERNS 2013, the Fifth International Conferences on Pervasive Patterns and Applications. - Valencia : IARIA , 2013 . - pp. 52-58
ISBN 978-1-61208-276-9

Official URL:

Abstract in another language

Creating concise meta models manually is a complex task. Hence, newly proposed approaches were developed which follow the idea of inferring meta models from given model examples. They take graphical models as input and primarily analyze graphical properties of the utilized shapes to derive an appropriate meta model. Instead of that, we accept arbitrary model examples independent of a concrete syntax. The contained entity instances may have assigned values to imaginary attributes (i.e. attributes that are not declared yet). Based on these entity instances and the possessed assignments, a meta model is derived in a direct way. However, this meta model is quite bloated with redundant information. To increase its conciseness, we aim to apply so-called language patterns like inheritance and enumerations. For it, the applicability of those patterns is analyzed concerning the available information gathered from the underlying model examples. Furthermore, algorithms are introduced which apply the different patterns to a given meta model.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	meta model derivation; meta model inference; conciseness of meta models; pattern recognition; language patterns; inheritance
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science
Date Deposited:	24 Nov 2016 12:58
Last Modified:	31 Jan 2024 10:55
URI:	https://eref.uni-bayreuth.de/id/eprint/34115