Implementing semantically rich business vocabularies in CASE tools*)

Skersys, Tomas; Pavalkis, Saulius; Nemuraite, Lina

doi:10.1063/1.4912555

Cited by 7 publications

(6 citation statements)

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“…For our SBVR-related research purposes, we developed a UML profile for SBVR Business Vocabulary and a plug-in for the CASE system MagicDraw. That solution allows modeling SBVR business vocabularies using visual diagrams [36].…”

Section: Sbvr Business Vocabularymentioning

confidence: 99%

“…This CASE system features a UML extension mechanism via UML profiling and extensibility of both the CASE system functionality and DSL engine (via API) [37], which are mandatory to support this approach. Among other components, it includes the SBVR Modeler plug-in for MagicDraw, which uses a UML profile for SBVR to enable visual modeling functionality [36], model integration solver plugin, and the SBVR editor. Aside from Model Integration profiles and other previously developed transformations, the DnD Transformations plugin also contains the library of newly developed UML UCM → SBVR BV transformations, which are introduced further in this paper.…”

Section: Architecture Of Profiles Supporting Dnd Transformationsmentioning

confidence: 99%

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Extracting SBVR Business Vocabularies from UML Use Case Models Using M2M Transformations Based on Drag-and-Drop Actions

et al. 2021

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In the domain of model-driven system engineering, model-to-model (M2M) transformations present a very relevant topic because they may provide much-needed automation capabilities to the whole CASE-supported system development life cycle. Nonetheless, it is observed that throughout the whole development process M2M transformations are spread unevenly; in this respect, the phases of Business Modeling and System Analysis are arguably the most underdeveloped ones. The main novelty and contributions of this paper are the presented set of model-based transformations for extracting well-structured SBVR business vocabularies from visual UML use case models, which utilizes M2M transformation technology based on the so-called drag-and-drop actions. The conducted experiments show that this new development provides the same transformation power while introducing more flexibility to the model development process as compared to our previously developed approach for (semi-)automatic extraction of SBVR business vocabularies from UML use case models.

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Section: Sbvr Business Vocabularymentioning

confidence: 99%

Section: Architecture Of Profiles Supporting Dnd Transformationsmentioning

confidence: 99%

Extracting SBVR Business Vocabularies from UML Use Case Models Using M2M Transformations Based on Drag-and-Drop Actions

et al. 2021

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“…When a partial M2M transformation specification is developed, it can be interpreted and executed by the transformation engine within the same environment where the actual visual modeling takes place. Our solution enables us to do that across different meta object facility (MOF)-based modeling languages, such as unified modeling language (UML), semantics of business vocabulary and rules (SBVR) [15,16], business process model and notation (BPMN) [17], or service-oriented architecture modeling language (SoaML) [18]. We expect them to apply to other modeling languages (e.g., systems modeling language (SysML) [19] and object-process methodology [12]) and for as long as they are implemented using UML profiles in the modeling environment.…”

Section: Introductionmentioning

confidence: 99%

“…The UML class model was selected as the output model of our experiment. Note that it could be safely replaced with the SBVR fact model or virtually any other model being implemented as a UML profile (e.g., our research group has developed such implementation for SBVR [15]). Yet, we chose the UML class model for simplicity, because it is more established and well known in the modeling community.…”

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confidence: 99%

Extending Drag-and-Drop Actions-Based Model-to-Model Transformations with Natural Language Processing

2020

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Model-to-model (M2M) transformations are among the key components of model-driven development, enabling a certain level of automation in the process of developing models. The developed solution of using drag-and-drop actions-based M2M transformations contributes to this purpose by providing a flexible, reusable, customizable, and relatively easy-to-use transformation method and tool support. The solution uses model-based transformation specifications triggered by user-initiated drag-and-drop actions within the model deployed in a computer-aided software engineering (CASE) tool environment. The transformations are called partial M2M transformations, meaning that a specific user-defined fragment of the source model is being transformed into a specific fragment of the target model and not running the whole model-level transformation. In this paper, in particular, we present the main aspects of the developed extension to that M2M transformation method, delivering a set of natural language processing (NLP) techniques on both the conceptual and implementation level. The paper addresses relevant developments and topics in the field of natural language processing and presents a set of operators that can be used to satisfy the needs of advanced textual preprocessing in the scope of M2M transformations. Also in this paper, we describe the extensions to the previous M2M transformation metamodel necessary for enabling the solution’s NLP-related capabilities. The usability and actual benefits of the proposed extension are introduced by presenting a set of specific partial M2M transformation use cases where natural language processing provides actual solutions to previously unsolvable situations when using the previous M2M transformation development.

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“…Baseline studies are based on the use of CASE tools in business systems in general (Montini et al, 2014;Harmon, 2015;Skersys et al, 2015), on the basis of what has been observed as the need for implementation in the field of hotel business and tourism. (Maksimović et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Modelling of the information system for monitoring the activities of a travel agency

Paunović

Veljović

2018

Menadž u hotelijerstvu i turiz

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The field of research of this paper is focused on modelling the information system, in order to improve the operation of travel agencies. By combining modern methods, information technologies and their practical applications, systems have been developed to facilitate access to relevant information as well as to monitor the business activities of travel agencies. The research subject of this paper refers to the improvement of the business of travel agencies through the introduction of an information system into the processes of agency business. The goal of the research is to design and develop a universal information system that will provide a more efficient and effective business for travel agencies in order to respond better to the demands of the users (both internal and external). The development of CASE (Computer Aided Software Engineering) tools i.e. BPwin, (Bussines Process for Windows) for business process modelling (the IDEF0-Integrated Computer Aided Manufacturing DEFinition for Function Modelling standard) and Erwin (Entity Relationships for Windows) for data modelling (the IDEF1X-Integration DEFinition for information modelling standard), have enabled the modelling of the information system for monitoring the agency business. The research was carried out through the realization of functional, informational and applied modelling.

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Implementing semantically rich business vocabularies in CASE tools*)

Cited by 7 publications

References 0 publications

Extracting SBVR Business Vocabularies from UML Use Case Models Using M2M Transformations Based on Drag-and-Drop Actions

Extracting SBVR Business Vocabularies from UML Use Case Models Using M2M Transformations Based on Drag-and-Drop Actions

Extending Drag-and-Drop Actions-Based Model-to-Model Transformations with Natural Language Processing

Modelling of the information system for monitoring the activities of a travel agency

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