A domain-specific visual modeling language for testing environment emulation

2016 ◽  
Author(s):  
Jian Liu ◽  
John Grundy ◽  
Iman Avazpour ◽  
Mohamed Abdelrazek
Keyword(s):  
Modeling Language ◽  
Visual Modeling ◽  
Testing Environment ◽  
Domain Specific

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.

scholarly journals Building Quranic stories ontology using MappingMaster domain-specific language

2022 ◽  
Vol 12 (1) ◽  
pp. 684
Author(s):  
Rusul Yousif Alsalhee ◽  
Abdulhussein Mohsin Abdullah
Keyword(s):  
Query Language ◽  
Role Modeling ◽  
Domain Specific Language ◽  
Modeling Language ◽  
Specific Language ◽  
Domain Specific ◽  
The People ◽  
Holy Quran ◽  
The Holy Quran ◽  
Object Role Modeling

<p>The Holy Quran, due to it is full of many inspiring stories and multiple lessons that need to understand it requires additional attention when it comes to searching issues and information retrieval. Many works were carried out in the Holy Quran field, but some of these dealt with a part of the Quran or covered it in general, and some of them did not support semantic research techniques and the possibility of understanding the Quranic knowledge by the people and computers. As for others, techniques of data analysis, processing, and ontology were adopted, which led to directed these to linguistic aspects more than semantic. Another weakness in the previous works, they have adopted the method manually entering ontology, which is costly and time-consuming. In this paper, we constructed the ontology of Quranic stories. This ontology depended in its construction on the MappingMaster domain-specific language (MappingMaster DSL)technology, through which concepts and individuals can be created and linked automatically to the ontology from Excel sheets. The conceptual structure was built using the object role modeling (ORM) modeling language. SPARQL query language used to test and evaluate the propsed ontology by asking many competency questions and as a result, the ontology answered all these questions well.</p>

coUML

2008 ◽  
pp. 154-182 ◽  
Author(s):  
Michael Derntl ◽  
Renate Motschnig-Pitrik
Keyword(s):  
Learning Environment ◽  
Blended Learning ◽  
Modeling Language ◽  
Visual Modeling ◽  
Current State ◽  
Instructional Environments ◽  
Detailed Specification

In this chapter we present coUML, a visual modeling language for cooperative environments. As modern instructional environments have a highly cooperative nature, coUML is proposed as a powerful and effective language for modeling instructional designs in such environments. Being based on UML, it was conceived and refined through application and experience over multiple years, primarily in a cooperative blended learning environment. We present relevant requirements and applications that contributed to the development of coUML, as well as a detailed specification of model elements, characteristics and features that describe its current state.

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.

VisTML: A Visual Modeling Language for Model Transformation

2011 ◽  
Author(s):  
He Xiao ◽  
Ma Zhiyi ◽  
Liu Yi ◽  
Chen Hongjie ◽  
Shao Weizhong
Keyword(s):  
Model Transformation ◽  
Modeling Language ◽  
Visual Modeling
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