A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs

Maneschijn, Dennis G. J. C.; Bemthuis, Rob; Bukhsh, Faiza Allah; Iacob, Maria-Eugenia

doi:10.5220/0011029600003179

Cited by 4 publications

(14 citation statements)

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“…Key to abstraction is finding a process model that is neither too highly abstracted (underfitting) nor too detailed (overfitting). Furthermore, the desired abstraction level also greatly depends on the skills and desired outcome of the person using the process model [28]. Higher-level management staff may need simplified process models for strategic decision-making, while those working 'in the trenches' of a process typically focus more on detailed process executions.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve this, we analyze user perceptions, such as ease of use and usefulness [14], to determine a user's willingness to employ a process model. Building on previous work [28], we further assess and demonstrate an initial methodology. Previous research suggests that both subjective measures (e.g., usefulness and ease of use) and objective measures of complexity (e.g., number of nodes) are important for users who will ultimately employ the discovered process models.…”

Section: Introductionmentioning

confidence: 99%

“…Previous research suggests that both subjective measures (e.g., usefulness and ease of use) and objective measures of complexity (e.g., number of nodes) are important for users who will ultimately employ the discovered process models. Consideration of stakeholders' needs is crucial when evaluating the quality of process models [28]. Specifically, different users may require unique process model representations based on factors such as organizational needs, background knowledge, and expertise.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, different users may require unique process model representations based on factors such as organizational needs, background knowledge, and expertise. To validate the methodology, we apply it to a new case study and compare the results to those of the original case study presented in [28]. This allows us to evaluate the methodology's applicability and provide a broader understanding of its execution.…”

Section: Introductionmentioning

confidence: 99%

“…In summary, this study presents a novel methodology and demonstrates its effectiveness through two case studies, making it a design science research. Therefore, we follow Peffers's Design Science Research Methodology (DSRM) [31] and include a second iteration of the artifact (i.e., methodology), in addition to the results published in [28].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective

Maneschijn¹,

Bemthuis²,

Arachchige³

et al. 2023

Lecture Notes in Business Information Processing

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Process mining techniques use event logs to discover process models, check conformance, and aid business analysts in improving business processes. A proper interplay between the complexity of discovered process models and the expertise of human interpreters, such as stakeholders, domain experts, and process analysts, is key for the success of process mining efforts. However, current practice often suffers from a misalignment between aligning the technical or business background of a human subject and the results obtained through process mining discovery techniques. This results in either overly complex or overly simplistic discovered process models for particular users. In this study, we propose and validate a methodology for aligning users of process models with different abstractions of discovered process models. We present two case studies to illustrate the usability of our six-phase methodology and demonstrate its potential. We hope that these findings will encourage systematic approaches for better alignment between users' willingness to employ process models and process model abstraction.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective

Maneschijn¹,

Bemthuis²,

Arachchige³

et al. 2023

Lecture Notes in Business Information Processing

View full text Add to dashboard Cite

show abstract

Context, Composition, Automation, and Communication: The C ² AC Roadmap for Modeling and Simulation

Uhrmacher,

Frazier,

Hähnle

et al. 2024

ACM Trans. Model. Comput. Simul.

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Simulation has become, in many application areas, a sine-qua-non. Most recently, COVID-19 has underlined the importance of simulation studies and limitations in current practices and methods. We identify four goals of methodological work for addressing these limitations. The first is to provide better support for capturing, representing, and evaluating the context of simulation studies, including research questions, assumptions, requirements, and activities contributing to a simulation study. In addition, the composition of simulation models and other simulation studies’ products must be supported beyond syntactical coherence, including aspects of semantics and purpose, enabling their effective reuse. A higher degree of automating simulation studies will contribute to more systematic, standardized simulation studies and their efficiency. Finally, it is essential to invest increased effort into effectively communicating results and the processes involved in simulation studies to enable their use in research and decision-making. These goals are not pursued independently of each other, but they will benefit from and sometimes even rely on advances in other subfields. In the present paper, we explore the basis and interdependencies evident in current research and practice and delineate future research directions based on these considerations.

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Discovering hierarchical process models: an approach based on events partitioning

Begicheva,

Lomazova,

Nesterov

2024

Model. anal. inf. sist.

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Process mining is a field of computer science that deals with the discovery and analysis of process models based on automatically generated event logs. Currently, many companies are using this technology to optimize and improve their business processes. However, a discovered process model may be too detailed, sophisticated, and difficult for experts to understand. In this paper, we consider a problem of discovering the hierarchical business process model from a low-level event log, i. e., the problem of the automatic synthesis of more readable and understandable process models based on the data stored in the event logs of information systems. The discovery of better-structured and more readable process models is extensively studied in the framework of process mining research from different perspectives. In this paper, we present an algorithm for discovering hierarchical process models represented as two-level workflow Petri nets. The algorithm is based on predefined event partitioning so that this partitioning defines a sub-process corresponding to a high-level transition at the top level of a two-level net. In contrast to existing solutions, our algorithm does not impose restrictions on the process control flow and allows for concurrency and iterations.

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A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs

Cited by 4 publications

References 0 publications

Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective

Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective

Context, Composition, Automation, and Communication: The C ² AC Roadmap for Modeling and Simulation

Discovering hierarchical process models: an approach based on events partitioning

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A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs

Cited by 4 publications

References 0 publications

Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective

Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective

Context, Composition, Automation, and Communication: The C 2 AC Roadmap for Modeling and Simulation

Discovering hierarchical process models: an approach based on events partitioning

Contact Info

Product

Resources

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Context, Composition, Automation, and Communication: The C ² AC Roadmap for Modeling and Simulation