Towards a Domain-Specific Modeling Language for Customer Data Integration Workflow

2008 ◽  
Author(s):  
Wesley Deneke ◽  
Josh Eno ◽  
Wingning Li ◽  
Craig Thompson ◽  
John Talburt ◽  
...  
Keyword(s):  
Data Integration ◽  
Modeling Language ◽  
Customer Data ◽  
Domain Specific ◽  
Domain Specific Modeling ◽  
Specific Modeling ◽  
Customer Data Integration

scholarly journals Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems

2021 ◽  
Vol 11 (12) ◽  
pp. 5476
Author(s):  
Ana Pajić Simović ◽  
Slađan Babarogić ◽  
Ognjen Pantelić ◽  
Stefan Krstović
Keyword(s):  
Process Mining ◽  
Modeling Language ◽  
Sufficient Information ◽  
Event Data ◽  
Erp Systems ◽  
Domain Experts ◽  
Domain Specific ◽  
Event Logs ◽  
Domain Specific Modeling ◽  
Specific Modeling

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.

A Domain Specific Modeling Language for Enterprise Application Development

2018 ◽  
Vol 11 (2) ◽  
pp. 51-70
Author(s):  
Bahman Zamani ◽  
Shiva Rasoulzadeh
Keyword(s):  
Tool Support ◽  
Modeling Language ◽  
Application Development ◽  
Web Based ◽  
Domain Specific ◽  
Enterprise Application ◽  
Extension Mechanism ◽  
Enterprise Applications ◽  
Domain Specific Modeling ◽  
Specific Modeling

This article describes how experience in domain specific modeling can be captured and abstracted in a domain specific modeling language (DSML). Modeling with a DSML results in quality models. Patterns of enterprise application architecture (PofEAA) is a rich set of patterns that can be used by designers when designing (modeling) web-based enterprise applications. This article aims at defining a DSML based on PofEAA patterns, as well as providing tool support for designing web-based enterprise applications that use these patterns. The authors have built a DSML using the profile extension mechanism of UML, by defining stereotypes. In addition to the proposed profile, this article has implemented the structure and behavior of PofEAA patterns in Rational Software Architecture (RSA) which is resulted in a tool that facilitates the design of software for designers. To show the usefulness of the tool, it is used for modeling two small systems based on the PofEAA patterns. The results show that many of the design is automated and the modeling speed is increased.

scholarly journals Emendo – A Toolchain for Creating Gamified Learning Arrangements for Online Learning Settings

2018 ◽  
Author(s):  
Alexander Bartel ◽  
Georg Hagel ◽  
Christian Wolff
Keyword(s):  
Online Learning ◽  
Management System ◽  
Teaching And Learning ◽  
Source Code ◽  
Qualitative Evaluation ◽  
Modeling Language ◽  
Domain Specific ◽  
Domain Specific Modeling ◽  
Gamified Learning ◽  
Specific Modeling

This contribution describes the Emendo toolchain which enables the effective creation and implementation of gamified learning arrangements for online learning settings based on the domain-specific modeling approach. The components of Emendo are a domain-specific modeling language, a generator which transforms models based on the language into source code as well as the embedding of the latter in a learning management system. Scenarios for the usage of Emendo for teaching and learning are presented with respect to the functionalities of the toolchain. In addition, a qualitative evaluation concerning Emendo’s goals, concept and insights on the results is given. The evaluation shows that Emendo reaches high acceptance for teaching purposes and can serve as a promising means for the digitisation of teaching and learning.

scholarly journals Polychronous Interpretation of Synoptic, a Domain Specific Modeling Language for Embedded Flight-Software

2010 ◽  
Vol 20 ◽  
pp. 80-87
Author(s):  
Loïc Besnard ◽  
Thierry Gautier ◽  
Julien Ouy ◽  
Jean-Pierre Talpin ◽  
Jean-Paul Bodeveix ◽  
...  
Keyword(s):  
Modeling Language ◽  
Domain Specific ◽  
Domain Specific Modeling ◽  
Specific Modeling

Framework for the Rapid Development of Modeling Environments

2011 ◽  
pp. 257-271
Author(s):  
Akos Ledeczi ◽  
Miklos Matoti ◽  
Peter Volgyesi
Keyword(s):  
Real World ◽  
Rapid Development ◽  
Program Synthesis ◽  
Modeling Language ◽  
World Systems ◽  
Functional Modeling ◽  
Domain Specific ◽  
Modeling Environment ◽  
Domain Specific Modeling ◽  
Specific Modeling

This chapter introduces the concepts and techniques required for developing graphical, domain-specific modeling and program synthesis environments. It argues that a fully functional modeling environment can be quickly developed for a wide variety of engineering domains using a configurable and extensible toolset with a limited set of generic concepts. The configuration is accomplished through metamodels specifying the modeling language and methodology containing all syntactic, semantic and presentation information of the domain. The authors applied this approach to several real-world systems.

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