Adopting the Cognitive Complexity Measure for Business Process Models

Gruhn, Volker; Laue, Ralf

doi:10.1109/coginf.2006.365702

Cited by 61 publications

(32 citation statements)

References 9 publications

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“…Different works have focused on different forms of complexity, and all these complexities contribute to the decreased understandability of process models. The independent variables investigated in the work on complexity include: number of arcs and nodes [98,124], number of gateways [1,131,138], number of events [1], number of loops [37], and number of concurrencies [97], length of the longest path [97,138], depth of nesting [49], and gateway heterogeneity [97,138]. Number of concurrencies means the number of paths that should be executed in parallel.…”

Section: Process Model Understanding Factorsmentioning

confidence: 99%

Integrated Modeling of Business Processes and Business Rules

Wang¹

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Two major components in current information system architectures in terms of modeling business requirements are business processes and business rules, both of which focus on creating a representation of the organization's policies and practices. The conceptual and pragmatic overlap between business process models and business rules indicates a need to model the two related aspects together. Over the past two decades the need to model business rules in an integrated manner with business processes has been argued theoretically as well as validated empirically, and a variety of integration methods have been developed. However, the following questions have not yet been answered by current research. First, while researchers have argued that integrated modeling of business process models and business rules can improve the understanding of business processes, this proposition has neither been theoretically analyzed, nor empirically evaluated.Second, there are situations in which a business rule is better modelled independently of a business process model, but also situations in which it is more appropriate to integrate the rule with a business process model. An important aspect of integrated modeling is the understanding of such situations and how they influence business rule representation.Thus, the aim of this thesis is to address the above two questions and then develop a decision framework that guides modelers on whether and how to integrate a business rule with a business process model. Accordingly, the thesis has the following three objectives:(1) theoretically analyze and empirically evaluate if and when business rule integration can improve business process model understanding, (2) identify and evaluate factors that will influence the decision of whether or not a business rule should be integrated with a business process model, and (3) develop a decision framework that guides modelers on whether or not, and if so how, to integrate a business rule with a business process model.

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Section: Process Model Understanding Factorsmentioning

confidence: 99%

Integrated Modeling of Business Processes and Business Rules

Wang¹

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“…V průběhu rešerše literatury bylo nalezeno celkem 33 relevantních informačních zdrojů Cardoso et al, 2006;Cardoso, 2005bCardoso, , 2006Cardoso, , 2007Cardoso, , 2008Fu et al, 2010;Gruhn & Laue, 2006a, 2006bHenry & Kafura, 1981;Huang & Kumar, 2009;Khlif et al, 2009Khlif et al, , 2010Kluza & Nalepa, 2012;Lassen & Van Der Aalst, 2009;Latva-Koivisto, 2001;Mendling, Neumann, & Aalst, 2007;Mendling, 2006;Muketha et al, 2010;Parizi & Ghani, 2008;Reijers & Vanderfeesten, 2004;Reijers, 2003;Rolón et al, 2009;Roy et al, 2014;Sánchez-González et al, 2011;Shao & Wang, 2003;Solichah et al, 2013;Thammarak, 2010;Vanderfeesten, Cardoso, & Reijers, 2007;Vanderfeesten et al, 2007a;Vanderfeesten et al, 2008;Vanderfeesten, Reijers, & Van Der Aalst, 2008). Každý z nalezených zdrojů byl autory tohoto článku přečten a analyzován.…”

Section: Výsledky Rešerše Způsob Extrakce a Syntézy Datunclassified

Measures of Quality in Business Process Modelling

Hronza

Pavlicek

Mach

et al. 2015

AIP

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AbstraktProcesní analýza a modelování byznys procesů je jedna z významných částí aplikované (byznys) informatiky. Kvalita byznys procesů (diagramů) je v této oblasti velmi důležitá. Cílem každého procesního analytika by měla být tvorba srozumitelných, jednoznačných a bezchybných procesních diagramů. Pokud je proces řádně popsán, lze jej využít jako vstup pro detailnější analýzu a optimalizaci. Lze předpokládat, že řádně vytvořený a popsaný diagram byznys procesu (obdobně jako řádně napsaný algoritmus) bude obsahovat charakteristiky, které lze matematicky popsat. Kromě toho by bylo možné vytvořit nástroj, který by pomohl procesním analytikům vytvářet vhodné procesní diagramy. V rámci tohoto přehledového článku bude realizována rešerše dostupné literatury, jejíž cílem je nalezení a následné provedení analýzy míry návrhu a kvality byznys procesů. Rešerší bylo nalezeno, že zmíněná oblast již byla předmětem výzkumu. Bylo nalezeno třicet tři vědeckých publikací a dvacet dva měr kvality. Závěrem lze říci, že nalezené vědecké publikace a míry kvality nereflektují všechny důležité atributy jasnosti, jednoduchosti a úplnosti modelů byznys procesů. Z toho důvodu by bylo vhodné obohatit existující míry kvality diagramů byznys procesů.Klíčová slova: Modelování byznys procesů, analýza byznys procesů, byznys procesy, míry kvality, BPMN. AbstractBusiness process modelling and analysing is undoubtedly one of the most important parts of Applied (Business) Informatics. Quality of business process models (diagrams) is crucial for any purpose in this area. The goal of a process analyst's work is to create generally understandable, explicit and error free models. If a process is properly described, created models can be used as an input into deep analysis and optimization. It can be assumed that properly designed business process models (similarly as in the case of correctly written algorithms) contain characteristics that can be mathematically described. Besides it will be possible to create a tool that will help process analysts to design proper models. As part of this review will be conducted systematic literature review in order to find and analyse business process model's design and business process model's quality measures. It was found that mentioned area had already been the subject of research investigation in the past.

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“…An approach based on goal-question-metric method (GQM) is proposed in [11] to help finding, among a set of quality characteristics, those that are relevant in a given framework and to deduce how to measure them. One of the characteristics that has been the subject of several proposals is the complexity [6,12,9]. However, these studies are based primarily on structural characteristics of processes and their models.…”

Section: State Of the Artmentioning

confidence: 99%

Improving Business Process Model Quality Using Domain Ontologies

2013

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This paper addresses the issue of improving quality of business process (BP) models by exploiting domain knowledge. Indeed, business process models reflect the business processes of companies. The success of these processes has a direct and undeniable impact on business operations success. Managing them through their underlying models helps improving their effectiveness, consistency, and transparency. BP modeling aims at a better understanding of processes, allowing deciders to achieve strategic goals of the company. However, several studies from the literature showed that in experienced system analysts often produce low-level quality. This situation is partly due to lack of domain knowledge. In this paper, we propose to support this modeling effort with an approach that uses domain knowledge to improve the semantic quality of BP models. We suggest to use ontologies as a mean to capture domain knowledge and meta-modeling techniques to deal with BP models independently of languages in which they are expressed. Our contribution is threefold: (1) the meta-models describing both a domain ontology and a BP model are described, (2) the alignment between the concepts of both meta-models is defined and illustrated, (3) a set of Object Constraint Language mapping rules is provided. A simple case study illustrates the process.

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Adopting the Cognitive Complexity Measure for Business Process Models

Cited by 61 publications

References 9 publications

Integrated Modeling of Business Processes and Business Rules

Integrated Modeling of Business Processes and Business Rules

Measures of Quality in Business Process Modelling

Improving Business Process Model Quality Using Domain Ontologies

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