Controlled Experiment in Business Model-Driven Conceptual Database Design

Brdjanin, Drazen; Banjac, Goran; Banjac, Danijela; Maric, Slavko

doi:10.1007/978-3-319-59466-8_18

Cited by 7 publications

(11 citation statements)

References 18 publications

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“…Through the experiment with students we obtained a very high completeness and precision of automatically generated CDMs (both average measures over 85%). After that experiment, we conducted the experiment [19,20] with database practitioners, which almost confirmed the previous results. Based on the semantic capacity of POMs, which was identified and proved in the previous research and conducted experiments, we specified the aforementioned DSL named BMRL and proposed the two-phase BPM-driven approach to CDM synthesis [17].…”

Section: Related Worksupporting

confidence: 81%

“…As already stated, the previous research [14,21,7,19,20] implies that several common BPM concepts have semantic capacity for automatic CDM synthesis. This section provides a brief overview 6 and illustration ( Fig.…”

Section: Semantic Capacity Of Bpms For Automatic Cdm Synthesismentioning

confidence: 80%

“…Regarding the evaluation of the FOM-based approaches, only [61] presents evaluation results based on a controlled experiment (but the authors do not focus on the assessment of method effectiveness and efficiency). Regarding the evaluation of the POM-based approaches, three papers [21,23,47] report case-study based evaluation, while the results of controlled experiments are reported in [28,34,7,19]. The most complete evaluation results of an MDSDM approach, which are based on the experiment conducted with a significant number of database practitioners, are presented in [19,20] (average model completeness and precision are over 80%).…”

Section: Related Workmentioning

confidence: 99%

“…Here we provide a real BPMN model (Fig. 14) of order processing, which was also used in the experiment conducted with database professionals [19,20]. Although the presented workflow (Fig.…”

Section: Verificationmentioning

confidence: 99%

“…Here we refer to the main results of the experiment conducted with database practitioners [19,20] in order to evaluate the direct BPM-driven CDM synthesis and direct ATL-based generator [20]. The evaluation was twofold.…”

Section: Validationmentioning

confidence: 99%

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Automated two-phase business model-driven synthesis of conceptual database models

Brdjanin

Banjac

et al. 2019

COMSIS J

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Existing approaches to business process model-driven synthesis of data models are characterized by a direct synthesis of a target model based on source models represented by concrete notations, where the synthesis is supported by monolithic (semi)automatic transformation programs. This article presents an approach to automated two-phase business process model-driven synthesis of conceptual database models. It is based on the introduction of a domain specific language (DSL) as an intermediate layer between different source notations and the target notation, which splits the synthesis into two phases: (i) automatic extraction of specific concepts from the source model and their DSL-based representation, and (ii) automated generation of the target model based on the DSL-based representation of the extracted concepts. The proposed approach enables development of modular transformation tools for automatic synthesis of the target model based on business process models represented by different concrete notations. In this article we present an online generator, which implements the proposed approach. The generator is implemented as a web-based, service-oriented tool, which enables automatic generation of the initial conceptual database model represented by the UML class diagram, based on business models represented by two concrete notations.

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Section: Related Worksupporting

confidence: 81%

Section: Semantic Capacity Of Bpms For Automatic Cdm Synthesismentioning

confidence: 80%

Section: Related Workmentioning

confidence: 99%

“…Here we provide a real BPMN model (Fig. 14) of order processing, which was also used in the experiment conducted with database professionals [19,20]. Although the presented workflow (Fig.…”

Section: Verificationmentioning

confidence: 99%