Name
Abstract | ||
|---|---|---|
State-of-the-art meta-model based methodologies are facing increasing pressure under new challenges originating from practical applications. In such cases, there is a strong need for approaches that support continuous, fine-graded, incremental refining of concepts. To address these challenges, our research group started working on a new modeling framework, the Dynamic Multi-Layer Algebra (DMLA) a few years ago. DMLA follows a completely new modeling paradigm, referred to as multi-layer modeling. Multi-layer modeling is originated from multi-level modeling and offers a highly flexible abstraction management approach in a level-blind fashion through its advanced deep instantiation and evolutionary snapshot management. One of the key features of DMLA is its self-validation mechanism based on a built-in, completely modeled operation language. Our initial solution had its limitations, since interactive editing was not supported, modelers could interact only with a single snapshot of the model. To overcome the limitations, we have created a virtual machine and an interpreter. In this paper, we present the novel architecture of our solution and demonstrate the feasibility of our approach by a walk-through of the concrete model management steps of an illustrative example to show the benefits of evolutionary model editing in DMLA. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.5220/0010347403440349 | PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING AND SOFTWARE DEVELOPMENT (MODELSWARD) |
Keywords | DocType | Citations |
Multi-layer Modeling, Multi-level Modeling, Graal, Truffle, Virtual Machine, Interpreter, Compiler, DMLA | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sándor Bácsi | 1 | 0 | 3.38 |
| Dániel Palatinszky | 2 | 0 | 2.03 |
| Máté Hidvégi | 3 | 0 | 0.34 |