Discovering instance and process spanning constraints from process execution logs

Winter, Karolin; Stertz, Florian; Rinderle-Ma, Stefanie

doi:10.1016/j.is.2019.101484

Cited by 23 publications

(11 citation statements)

References 20 publications

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“…Analogously to [64], we analyze case studies and realworld compliance constraint collections in order to derive further possible extensions of the CMF framework. Case studies can be found in various domains including data protection [111], finance [108], and manufacturing [35,114]. As discussed in [108], realworld compliance constraints refer to the modeling requirements CMF1-3 plus control flow patterns such as existence, absence, and ordering.…”

Section: Findings Based On Case Studiesmentioning

confidence: 99%

“…Constraints spanning multiple instances are referred to by CMF6 in the original CMF framework [64]. When looking into literature and the real-world constraints, CMF6 can be refined into constraints that reflect i) the simultaneous execution of events, ii) constrained execution, iii) order of events, iv) non-concurrent execution of events, and v) constrained start of following instances [114,113].…”

Section: Findings Based On Case Studiesmentioning

confidence: 99%

“…For the execution requirements, the extensions comprise the refinement of CMF6 on multiple instance constraints, following the categorization for instance-spanning constraints proposed in [114], i.e., constraints on simultaneous (CMF6.2), constrained (CMF6.3), order (CMF6.4), and nonconcurrent (CMF6.5) execution of tasks across process instances/processes as well as constrained start of following instances (CMF6.6).…”

Section: Extended Compliance Monitoring Functionality Frameworkmentioning

confidence: 99%

“…Example: "Finished orders of one day are delivered to the post office simultaneously in the evening." [114] Prediction Requirements: predict occurrence of events across multiple instances/processes plus temporal prediction CMF 6.3 constrained execution.…”

Section: Cmf 4 Non-atomic Activities (Explicit)mentioning

confidence: 99%

See 3 more Smart Citations

Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions

Rinderle-Ma¹,

Winter²

2022

Preprint

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Business process compliance is a key area of business process management and aims at ensuring that processes obey to compliance constraints such as regulatory constraints or business rules imposed on them. Process compliance can be checked during process design time based on verification of process models and at runtime based on monitoring the compliance states of running process instances. For existing compliance monitoring approaches it remains unclear whether and how compliance violations can be predicted, although predictions are crucial in order to prepare and take countermeasures in time. This work, hence, analyzes existing literature from compliance and SLA monitoring as well as predictive process monitoring and provides an updated framework of compliance monitoring functionalities. For each compliance monitoring functionality we elicit prediction requirements and analyze their coverage by existing approaches. Based on this analysis, open challenges and research directions for predictive compliance and process monitoring are elaborated.

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Section: Findings Based On Case Studiesmentioning

confidence: 99%

Section: Findings Based On Case Studiesmentioning

confidence: 99%

Section: Extended Compliance Monitoring Functionality Frameworkmentioning

confidence: 99%

Section: Cmf 4 Non-atomic Activities (Explicit)mentioning

confidence: 99%

See 2 more Smart Citations

Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions

Rinderle-Ma¹,

Winter²

2022

Preprint

Self Cite

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“…This type of visualizations (Figure 15) captures information about event sequences as a node-link diagram, where nodes usually represent events and the links represent transition between events. Winter et al [78] Munoz-Gama et al [79] Leoni et al [80] Bolt et al [32] Low et al Wynn et al [83] visual representations. This view then shows a hierarchical relationship of which patterns exists in the event sequence data.…”

Section: Node-link Hierarchy-basedmentioning

confidence: 99%

A Survey of Approaches for Event Sequence Analysis and Visualization using the ESeVis Framework

Yeshchenko¹,

Mendling²

2022

Preprint

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Event sequence data is increasingly available. Many business operations are supported by information systems that record transactions, events, state changes, message exchanges, and so forth. This observation is equally valid for various industries, including production, logistics, healthcare, financial services, education, to name but a few. The variety of application areas explains that techniques for event sequence data analysis have been developed rather independently in different fields of computer science. Most prominent are contributions from information visualization and from process mining. So far, the contributions from these two fields have neither been compared nor have they been mapped to an integrated framework. In this paper, we develop the Event Sequence Visualization framework (ESeVis) that gives due credit to the traditions of both fields. Our mapping study provides an integrated perspective on both fields and identifies potential for synergies for future research.

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Cross-Case Data Objects in Business Processes: Semantics and Analysis

Haarmann

Weske

2020

Lecture Notes in Business Information Processing

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Discovering instance and process spanning constraints from process execution logs

Cited by 23 publications

References 20 publications

Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions

Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions

A Survey of Approaches for Event Sequence Analysis and Visualization using the ESeVis Framework

Cross-Case Data Objects in Business Processes: Semantics and Analysis

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