How do practitioners use conceptual modeling in practice?

Davies, Islay; Green, Peter; Rosemann, Michael; Indulska, Marta; Gallo, Stan

doi:10.1016/j.datak.2005.07.007

Cited by 305 publications

(189 citation statements)

References 18 publications

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“…As motivated in the introduction, it is likely that this event log contains noise. We applied both the Heuristic Miner (HM) [8] and the Inductive Miner (IM) [9] as representatives of discovery methods supporting noise filtering on such an event log with a controlled degree of noise 1 . Figure 2 shows the resulting process mod- els in BPMN notation.…”

Section: Problem Descriptionmentioning

confidence: 99%

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Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs

Mannhardt

Leoni

Reijers

et al. 2017

Lecture Notes in Computer Science

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Section: Problem Descriptionmentioning

confidence: 99%

“…Process models are used by organizations to document, specify, and analyze their processes [1]. A process model describes the expected behavior of a process in terms of its activities (i.e., units of work) and their ordering.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs

Mannhardt

Leoni

Reijers

et al. 2017

Lecture Notes in Computer Science

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“…Overall, a high number of process modeling techniques have been proposed since Carl Petri published his initial ideas on Petri nets in 1962 [2], and process modeling has become one of the most popular reasons for conceptual modeling [3]. Clearly, a theoretical basis is required to assist in the evaluation and comparison of available process modeling techniques.…”

Section: Introductionmentioning

confidence: 99%

A Study of the Evolution of the Representational Capabilities of Process Modeling Grammars

Rosemann

Recker

Indulska

et al. 2006

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract.A plethora of process modeling techniques has been proposed over the years. One way of evaluating and comparing the scope and completeness of techniques is by way of representational analysis. The purpose of this paper is to examine how process modeling techniques have developed over the last four decades. The basis of the comparison is the Bunge-Wand-Weber representation model, a benchmark used for the analysis of grammars that purport to model the real world and the interactions within it. This paper presents a comparison of representational analyses of several popular process modeling techniques and has two main outcomes. First, it provides insights, within the boundaries of a representational analysis, into the extent to which process modeling techniques have developed over time. Second, the findings also indicate areas in which the underlying theory seems to be over-engineered or lacking in specialization.

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“…As mentioned above, we are aware that an increase of complexity can also be paired with an increase in the understanding of the semantics of the model, which is by no coincidence one of the main purposes of ODCM. However, evidence provided by (Davies, Green, Rosemann, Indulska, & Gallo, 2006;Recker, 2010) report that perceived usefulness and perceived ease of use (measured as complexity) are the two most frequently reported factors influencing the decision to continue using conceptual modeling in practice.…”

Section: Research Opportunitymentioning

confidence: 99%

Ontology-driven conceptual modeling: A systematic literature mapping and review

Verdonck

Gailly

Cesare

et al. 2015

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Abstract. Ontology-driven conceptual modeling (ODCM) is still a relatively new research domain in the field of information systems and there is still much discussion on how the research in ODCM should be performed and what the focus of this research should be. Therefore, this article aims to critically survey the existing literature in order to assess the kind of research that has been performed over the years, analyze the nature of the research contributions and establish its current state of the art by positioning, evaluating and interpreting relevant research to date that is related to ODCM. To understand and identify any gaps and research opportunities, our literature study is composed of both a systematic mapping study and a systematic review study. The mapping study aims at structuring and classifying the area that is being investigated in order to give a general overview of the research that has been performed in the field. A review study on the other hand is a more thorough and rigorous inquiry and provides recommendations based on the strength of the found evidence. Our results indicate that there are several research gaps that should be addressed and we further composed several research opportunities that are possible areas for future research. IntroductionConceptual models were introduced to increase understanding and communication of a system or domain among stakeholders. According to Stachowiak (1973), a conceptual model possesses three features: (1) a mapping feature, meaning that a model can be seen as a representation of the 'original' system, which is expressed through a modeling language; (2) a reduction feature, characterizing the model as only a subset of the original system and (3) the pragmatics of a model which describes its intended purpose or objective.Conceptual modeling is the activity of representing aspects of the physical and social world for the purpose of communication, learning and problem solving among human users (Mylopoulos, 1992). Conceptual modeling has gained much attention especially in the field of information systems, for design, analysis and development purposes. Their importance was understood in the 1960s, since they facilitate detection and correction of system development errors (Wand & Weber, 2002). The higher the quality of conceptual models, the earlier the 2 detection and correction of these errors occurs. This increase in attention and importance attributed to conceptual modeling led to the development and introduction of a wide range of various conceptual modeling approaches and techniques. Criticism however arose, stating that these approaches and techniques still lacked a comprehensive and generally acknowledged understanding (Moody, 2005). In addition, many conceptual models lacked an adequate specification of the semantics of the terminology of the underlying models, which led to inconsistent interpretations and uses of knowledge (Grüninger, Atefi, & Fox, 2000). In order to provide a foundation for conceptual modeling, ontologies were introduced. As mentio...

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How do practitioners use conceptual modeling in practice?

Cited by 305 publications

References 18 publications

Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs

Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs

A Study of the Evolution of the Representational Capabilities of Process Modeling Grammars

Ontology-driven conceptual modeling: A systematic literature mapping and review

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