Title
Challenges in the Evolution of Metamodels: Smells and Anti-Patterns of a Historically-Grown Metamodel.
Abstract
In model-driven engineering, modeling languages are developed to serve as basis for system design, simulation and code generation. Like any software artifact, modeling languages evolve over time. If, however, the metamodel thatdefines the language is badly designed, the effort needed for its maintenance is unnecessarily increased. In this paper, we present bad smells and anti-patterns that we discovered in a thorough metamodel review of the Palladio Component Model (PCM). The PCM is a good representative for big and old metamodels that have grown over time. Thus, these results are meaningful, as they reflect the types of smells that accumulate in such metamodels over time. Related work deals mainly with automatically detectable bad smells, anti-patterns and defects. However, there are smells and anti-patterns, which cannot be detected automatically. They should not be neglected. Thus, in this paper, we focus on both: automatically and non-automatically detectablesmells.
Year
Venue
Field
2016
ME@MODELS
Systems engineering,Computer science,Modeling language,Systems design,Code generation,Software,Metamodeling
DocType
Citations 
PageRank 
Conference
1
0.37
References 
Authors
7
5
Name
Order
Citations
PageRank
Misha Strittmatter1194.33
Georg Hinkel2449.77
Michael Langhammer3102.57
Reiner Jung44110.55
Robert Heinrich513831.46