scholarly journals Measuring Scalable Business Process Model Complexity Based on Basic Control Structure

Author(s):  
Muhammad Yaqin ◽  
◽  
Riyanarto Sarno ◽  
Siti Rochimah ◽  
◽  
...  

The business process model is a representation of business activities illustrated through diagram notations. This model is composed of repeated specific patterns called basic control structure. Each basic control structure has a level of complexity. The metrics for formulating existing complexity are very diverse, but can only define complexity partially and are less sensitive to small changes in the structure of the business process model. In this paper, we propose a formula of complexity metric that can indicate small changes in structure, type of branching logic, number of branches, loops, and depth. We call it the Yaqin complexity formula. To get the Yaqin complexity formula, we carried out several activities. These activities are identifying the metrics involved using the Goal-Question-Metric (GQM) method, then formulating the metric complexity, the next activity is testing the formula with several business process models and analyzing the test results, and then validating the Yaqin complexity formula using the Weyuker's properties framework. The Yaqin complexity formula, which involves seven parameters, is proven to be more comprehensive than other complexity formulas that involve less than seven parameters. The Yaqin complexity formula also proved to be more sensitive to other complexity formulas, where 7 out of 8 cases affected the Yaqin complexity metric. The validation results state that the Yaqin complexity formula meets 8 of 9 Weyuker's properties. Thus we have succeeded in formulating the Yaqin complexity, which is more comprehensive in involving parameters and more sensitive in detecting small changes in the structure of the business process model.

2021 ◽  
Vol 6 (3) ◽  
pp. 170
Author(s):  
Hilman Nuril Hadi

Business process model was created to make it easier for business process stakeholders to communicate and discuss the structure of the process more effectively and efficiently. Business process models can also be business artifacts and media that can be analyzed further to improve and maintain organizational competitiveness. To analyze business processes in a structured manner, the effect/results of the execution of business processes will be one of the important information. The effect/result of the execution of certain activities or a business process as a whole are useful for managing business processes, including for improvements related to future business processes. This effect annotation approach needs to be supported by business process modeling tools to assist business analysts in managing business processes properly. In previous research, the author has developed a plugin that supports business analysts to describe the effects semantically attached to activities in the Business Process Model and Notation (BPMN) business process model. In this paper, the author describes the unit testing process and its results on the plugin of semantic effect annotation that have been developed. Unit testing was carried out using the basic path testing technique and has obtained three test paths. The results of unit test for plugin are also described in this paper.


2021 ◽  
Vol 28 (1) ◽  
pp. 39-46
Author(s):  
Florian Spree

Predictive process monitoring is a subject of growing interest in academic research. As a result, an increased number of papers on this topic have been published. Due to the high complexity in this research area a wide range of different experimental setups and methods have been applied which makes it very difficult to reliably compare research results. This paper's objective is to investigate how business process models and their characteristics are used during experimental setups and how they can contribute to academic research. First, a literature review is conducted to analyze and discuss the awareness of business process models in experimental setups. Secondly, the paper discusses identified research problems and proposes the concept of a web-based business process model metric suite and the idea of ranked metrics. Through a metric suite researchers and practitioners can automatically evaluate business process model characteristics in their future work. Further, a contextualization of metrics by introducing a ranking of characteristics can potentially indicate how the outcome of experimental setups will be. Hence, the paper's work demonstrates the importance of business process models and their characteristics in the context of predictive process monitoring and proposes the concept of a tool approach and ranking to reliably evaluate business process models characteristics.


2014 ◽  
Vol 11 (2) ◽  
pp. 461-480 ◽  
Author(s):  
Nuno Castela ◽  
Paulo Dias ◽  
Marielba Zacarias ◽  
José Tribolet

Business process models are often forgotten after their creation and its representation is not usually updated. This appears to be negative as processes evolve over time. This paper discusses the issue of business process models maintenance through the definition of a collaborative method that creates interaction contexts enabling business actors to discuss about business processes, sharing business knowledge. The collaboration method extends the discussion about existing process representations to all stakeholders promoting their update. This collaborative method contributes to improve business process models, allowing updates based in change proposals and discussions, using a groupware tool that was developed. Four case studies were developed in real organizational environment. We came to the conclusion that the defined method and the developed tool can help organizations to maintain a business process model updated based on the inputs and consequent discussions taken by the organizational actors who participate in the processes.


2019 ◽  
Vol 4 (2) ◽  
pp. 116
Author(s):  
Hilman Nuril Hadi ◽  
Tri Astoto Kurniawan ◽  
Ismiarta Aknuranda

BPMN has become the standard of business process modeling indescribing the existing series of business process. By engaging BPMN, an analystwould possibly able to model the whole business process activities in whichhe/she may analyze business process upon design time. It can be done byanalyzing the structure, behavior, or semantic of process model. In certaincondition one may ask a question what would the effects of the process be if itwere to be executed up to this point?. However, it cannot be solved with onlygraphical notation, but with its semantics. In practice, several modeling tools stilldo not provide a feature for managing information regarding the effects/resultsin the business process model. In fact, analysts should be supported with a toolin order to semantically enrich a process model with its effects. This articledescribes effect annotation semantically towards activity in the BPMN modelincluding the rules in representing its effects. The effect annotation will be suitedtowards activity type (atomic and compound activities). The outcomes of plugin development of eclipse BPMN2 modeler for representing semantic effect arealso described in this paper.


Author(s):  
Mostefai Abdelkader ◽  
Mekour Mansour

This paper proposes a method based on a new word embedding approach for matching business process model. The proposed method aligns two process models in four steps. First activity labels are extracted and pre-processed to remove meaningless words, then each word composing an activity label and using a semantic similarity metric based on WordNet is represented with an n-dimensional vector in the space of the vocabulary of the two labels to be compared. Based on these representations, a vector representation of each activity label is computed by averaging the vectors representing words found in the activity label. Finally, the two activity labels are reported as similar if their similarity score computed using the cosine metric is greater than some predefined threshold. An experiment was conducted on well-known dataset to assess the performance of the proposed method. The results showed that the proposed method shared the first place with RMM/NHCM and OPBOT tools and can be effective in matching process models.


Author(s):  
Maria Estrela Ferreira da Cruz ◽  
Ricardo J. Machado ◽  
Maribel Yasmina Santos

The constant change and rising complexity of organizations, mainly due to the transforming nature of their business processes, has driven the increase of interest in business process management by organizations. It is recognized that knowing business processes can help to ensure that the software under development will meet the business needs. Some of software development processes (like unified process) already refer to business process modeling as a first effort in the software development process. A business process model usually is created under the supervision, clarification, approval, and validation of the business stakeholders. Thus, a business process model is a proper representation of the reality (as is or to be), having lots of useful information that can be used in the development of the software system that will support the business. The chapter uses the information existing in business process models to derive software models specially focused in generating a data model.


2012 ◽  
Vol 21 (01) ◽  
pp. 55-83 ◽  
Author(s):  
SERGEY SMIRNOV ◽  
MATTHIAS WEIDLICH ◽  
JAN MENDLING

There are several motives for creating process models ranging from technical scenarios in workflow automation to business scenarios in which management decisions are taken. As a consequence, companies typically have different process models for the same process, which differ in terms of granularity. In this context, business process model abstraction serves as a technique that takes a process model as an input and derives a high-level model with coarse-grained activities and the corresponding control flow between them. In this way, business process model abstraction reduces the number of models capturing the same business process on different abstraction levels. In this article, we provide a solution to the problem of deriving the control flow of an abstract process model for the case that an arbitrary grouping of activities is permitted. To this end, we use behavioral profiles and prove that the soundness of the synthesized process model requires a notion of well-structuredness of the abstract model behavioral profile. Furthermore, we demonstrate that the activities can be grouped according to the data flow of the model in a meaningful way, and that this grouping does not directly coincides with a structural decomposition of the process, which is generally assumed by other abstraction approaches. This finding emphasizes the need for handling arbitrary activity groupings in business process model abstraction.


2020 ◽  
Vol 6 ◽  
pp. e301
Author(s):  
Hana Tomaskova ◽  
Gerhard-Wilhelm Weber

Background Business process modelling is increasingly used not only by the companies’ management but also by scientists dealing with process models. Process modeling is seldom done without decision-making nodes, which is why operational research methods are increasingly included in the process analyses. Objective This systematic literature review aimed to provide a detailed and comprehensive description of the relevant aspects of used operational research techniques in Business Process Model and Notation (BPMN) model. Methods The Web Of Science of Clarivate Analytics was searched for 128 studies of that used operation research techniques and business process model and notation, published in English between 1 January 2004 and 18 May 2020. The inclusion criteria were as follows: Use of Operational Research methods in conjunction with the BPMN, and is available in full-text format. Articles were not excluded based on methodological quality. The background information of the included studies, as well as specific information on the used approaches, were extracted. Results In this research, thirty-six studies were included and considered. A total of 11 specific methods falling into the field of Operations Research have been identified, and their use in connection with the process model was described. Conclusion Operational research methods are a useful complement to BPMN process analysis. It serves not only to analyze the probability of the process, its economic and personnel demands but also for process reengineering.


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