Domain-Specific Modeling for a Crop Model Factory

Author(s):  
Guillaume Barbier ◽  
Véronique Cucchi ◽  
François Pinet ◽  
David R. C. Hill

In the context of crop model design for industrial purposes, this paper proposes a domain-specific modeling approach to provide a crop model factory for the modelers in agronomy. The authors’ approach proposes to separate the concerns of representing the simulation process (process-based dynamics) and the plant data structure. They propose a refined and stabilized metamodel for the dynamics based on past preliminary work. This paper also explains how the Model-View-Controller design pattern can be applied to DSML environments to produce a more specialist-friendly interface. In addition, the authors propose a metamodeling usage of the Model-View-Controller offering the potential to develop a DSML for DSMLs design.

2021 ◽  
Vol 11 (12) ◽  
pp. 5476
Author(s):  
Ana Pajić Simović ◽  
Slađan Babarogić ◽  
Ognjen Pantelić ◽  
Stefan Krstović

Enterprise resource planning (ERP) systems are often seen as viable sources of data for process mining analysis. To perform most of the existing process mining techniques, it is necessary to obtain a valid event log that is fully compliant with the eXtensible Event Stream (XES) standard. In ERP systems, such event logs are not available as the concept of business activity is missing. Extracting event data from an ERP database is not a trivial task and requires in-depth knowledge of the business processes and underlying data structure. Therefore, domain experts require proper techniques and tools for extracting event data from ERP databases. In this paper, we present the full specification of a domain-specific modeling language for facilitating the extraction of appropriate event data from transactional databases by domain experts. The modeling language has been developed to support complex ambiguous cases when using ERP systems. We demonstrate its applicability using a case study with real data and show that the language includes constructs that enable a domain expert to easily model data of interest in the log extraction step. The language provides sufficient information to extract and transform data from transactional ERP databases to the XES format.


Author(s):  
Jeff Gray ◽  
Sandeep Neema ◽  
Juha-Pekka Tolvanen ◽  
Aniruddha Gokhale ◽  
Steven Kelly ◽  
...  

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