An Approach for Extracting Business Vocabularies from Business Process Models

Skersys, Tomas; Butleris, Rimantas; Kapocius, Kestutis; Vileiniskis, Tomas

doi:10.5755/j01.itc.42.2.2310

Cited by 12 publications

(12 citation statements)

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“…In a broader sense, the study contributes to the body of research knowledge in the fields of business process management [24,31] and automated software engineering [13]. While the proposed research can be connected with the field of requirement engineering [35], the questions and method adopted generates results and findings that are more applicable for AHP practitioners to aid practical use of different kinds of preferences in different scenarios.…”

Section: Discussionmentioning

confidence: 98%

“…While there has been much research in business process community focused on BPM analysis [24,31], there has been comparatively less work examining stakeholders' preferences and BPMF configuration problems. However, the need for recommendation systems and reasoning in the presence of variability and uncertainty in the software product engineering is recently identified as research challenge, only recently starting to receive an attention [21,24].…”

Section: Approaches For Preferences Modelling and Optimization Of Busmentioning

confidence: 99%

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Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

Šendelj

Ognjanović

2018

ITC

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Business process model families (BPMF) provide collective representation of business processes that can be defined for a target domain of interest. They enable rapid development of appropriate business processes by setting up quick BPMF configuration based on the stakeholders' needs and preferences. In this paper, we propose a novel framework for user-centric quality-driven configuration of business process model families capturing different kinds of non-functional preferences and solving the optimal BPMFs configuration problem. Focusing on the following key elements: Analytic Hierarchy Process (AHP), and its extension known as CS-AHP, Fuzzy logic and Genetic Algorithms, the framework maximizes the degree of satisfaction of defined non-functional preferences while simultaneously preserving the behavioural correctness of each derived business process. Furthermore, we provide extensive analyses of the proposed framework from three different perspectives: accuracy assessment, analysis of the impact of different variability and uncertainty elements, and comparison with the published literature indicating that the proposed approach outperforms similar ones in the field.

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Section: Discussionmentioning

confidence: 98%

Section: Approaches For Preferences Modelling and Optimization Of Busmentioning

confidence: 99%

Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

Šendelj

Ognjanović

2018

ITC

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“…Also, supplementary mapping data structures were proposed for linking two metamodels instead of merging them or selecting one metamodel as a main one and extending it with elements from other one [31]. The semi-automatic extraction of business vocabularies from business process models was proposed in [32], but it only deals with vocabulary and does not include business rules.…”

Section: Related Workmentioning

confidence: 99%

Improving BPMN2 Business Process Model to SBVR Business Vocabulary and Business Rules Transformation with BPMN2 Event Naming Patterns

Butleris

Mickevičiūtė

Nemuraite

2017

ITC

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The goal of the paper is to define naming patterns for BPMN2 events in order to process them differently to obtain the most complete and semantically correct SBVR business vocabulary and business rules as possible. The paper presents BPMN2 events and their representation in SBVR as a separate part of BPMN2 business process models transformation to SBVR business vocabulary and rules. As different BPMN2 events present different process behavior, they should be analyzed and processed separately to have full and comprehensive set of SBVR business vocabulary and business rules as they present terms, restrictions and business logic in organizations. Running example is presented for a better understanding. Overall approach recently has become available in UML CASE tool MagicDraw after implementing SBVR plugin based on UML profile for SBVR. The approach was implemented using QVT transformation language.

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“…It currently supports the development of additional tools, e.g., a model validator and a methodology wizard [21] as MagicDraw plugins and concrete syntax for DSMLs that do not only use the standard UML shapes, e.g., a relation map diagram for visualizing traceability in models [22]. However, as the paper [23] reveals, the hybrid DSMLs (with graphical and textual syntax) are not supported and had to be covered by integrating MagicDraw with an Eclipse-based editor, which is inferior to an IDE solution.…”

Section: Related Workmentioning

confidence: 99%

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

Godena

Lukman

Heričko

et al. 2015

ITC

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Model-driven engineering (MDE) is a software-engineering paradigm that is being introduced into a growing number of domains. One of the most important success factors for a new MDE approach is the availability of the appropriate tool support for it. Although the literature discusses the development of support tools, only a few reports and analyses are available about the development of tool support for real-life modeling languages and MDE approaches. The goal of this paper is to fill this gap through an experience report about developing a tool-suite prototype for an MDE approach for the process control domain that is capable of supporting the development of real-life process control software. Before the work presented in this paper an initial prototype tool suite was already developed. However, it was not able to adequately support industry-scale projects. The paper starts with an analysis of the past development of this already-existing laboratory prototype and then moves on to a report about the development of the industrial prototype, which is influenced by the findings of the analysis. Then a comparison between the two prototypes is made and the lessons learned are described, which may be useful to practitioners who attempt to develop support tools for an MDE approach that are useful in practice. The most important lesson learned is that when developing tool support for complex modeling languages, the traditional development approach should not be easily rejected.

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An Approach for Extracting Business Vocabularies from Business Process Models

Cited by 12 publications

References 0 publications

Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

Improving BPMN2 Business Process Model to SBVR Business Vocabulary and Business Rules Transformation with BPMN2 Event Naming Patterns

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

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