Characterization and Tool Supported Selection of Business Process Modeling Methodologies

Kaschek, Roland; Pavlov, Roman; Shekhovtsov, VladimirA. A.; Zlatkin, Sergiy

doi:10.1007/1-4020-5634-6_3

Cited by 5 publications

(11 citation statements)

References 7 publications

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“…Our exact definition of the term is more specific and tailored to process modelling. Another aspect comparable to our criterion "Coverage" can be found in Kaschek et al (2006) and Recker and Mendling (2016). They call it "Maturity" and divide it into multiple subcategories.…”

Section: Literature Reviewmentioning

confidence: 85%

“…He sees this as an element in order to support process improvement. Furthermore, Kaschek et al (2006) describe this characteristic as "Theoretical foundation", which they argue reflects the ability of a model to be converted into a simulation model. Our second criterion "Connectivity" can be compared to the notion of "Tightness of the connection between two nodes", as described by Vanderfeesten et al (2008).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In course of describing data believability, Prat and Madnick (2008) present the term "temporality", which matches our understanding of this term. Finally, multiple definitions of what we call "Versatility" are presented by Browning (2018), Kaschek et al (2006) and Krueger et al (2000). The term scalability is used directly by Luo and Alex Tung (1999).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Their definition is also in line with our understanding, considering this term as the potential of process models to be used for large systems. Kaschek et al (2006) also consider this factor to select business process modelling approaches, but in their definition, it is called "granularity". They also indirectly present a description for one of the most common criterion "effort".…”

Section: Literature Reviewmentioning

confidence: 99%

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Criteria for Selecting Design Process Modelling Approaches

et al. 2021

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Process models are among the principal artefacts used for managing design projects. However, the selection of effective modelling approaches can be difficult for design project managers, given that a plethora of tools exists for various modelling purposes. In addition to date no systematic approach for the assessment and selection of process modelling approaches is available to practitioners. This paper presents the development of criteria for benchmarking and selecting different process modelling tools. The results are based on three elements. (1) In a four-hour workshop undertaken by the Design Process SIG of the Design Society, bringing together around 20 international researchers and practitioners in design process modelling, an initial set of 58 criteria were brainstormed and consolidated during the workshop and in follow-up meetings. (2) The consolidated criteria were then compared with literature. The finalised criteria list was then validated by external experts in industry (3). The resulting list of 12 criteria provides a sound basis for practitioners to support a systematic selection of process modelling approaches. Further, it lays the foundation of a benchmarking tool, which is subject to future work.

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Section: Literature Reviewmentioning

confidence: 85%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Criteria for Selecting Design Process Modelling Approaches

et al. 2021

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“…Each of these characteristics comprises several attributes which results into an attribute set with large cardinality. Despite having defined a comprehensive criteria set, the commonly used decision models comprise only a limited set of criteria [ 14 – 16 , 18 ]. As a result, the employed DSSs provide rankings which can be considered as incomplete or partial.…”

Section: Introductionmentioning

confidence: 99%

Ranking of Business Process Simulation Software Tools with DEX/QQ Hierarchical Decision Model

Damij¹,

Boškoski

Bohanec

et al. 2016

PLoS ONE

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The omnipresent need for optimisation requires constant improvements of companies’ business processes (BPs). Minimising the risk of inappropriate BP being implemented is usually performed by simulating the newly developed BP under various initial conditions and “what-if” scenarios. An effectual business process simulations software (BPSS) is a prerequisite for accurate analysis of an BP. Characterisation of an BPSS tool is a challenging task due to the complex selection criteria that includes quality of visual aspects, simulation capabilities, statistical facilities, quality reporting etc. Under such circumstances, making an optimal decision is challenging. Therefore, various decision support models are employed aiding the BPSS tool selection. The currently established decision support models are either proprietary or comprise only a limited subset of criteria, which affects their accuracy. Addressing this issue, this paper proposes a new hierarchical decision support model for ranking of BPSS based on their technical characteristics by employing DEX and qualitative to quantitative (QQ) methodology. Consequently, the decision expert feeds the required information in a systematic and user friendly manner. There are three significant contributions of the proposed approach. Firstly, the proposed hierarchical model is easily extendible for adding new criteria in the hierarchical structure. Secondly, a fully operational decision support system (DSS) tool that implements the proposed hierarchical model is presented. Finally, the effectiveness of the proposed hierarchical model is assessed by comparing the resulting rankings of BPSS with respect to currently available results.

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On the Evolution of Quality Conceptualization Techniques

Shekhovtsov

2011

Lecture Notes in Computer Science

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Characterization and Tool Supported Selection of Business Process Modeling Methodologies

Cited by 5 publications

References 7 publications

Criteria for Selecting Design Process Modelling Approaches

Criteria for Selecting Design Process Modelling Approaches

Ranking of Business Process Simulation Software Tools with DEX/QQ Hierarchical Decision Model

On the Evolution of Quality Conceptualization Techniques

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