Replaying history on process models for conformance checking and performance analysis
Process mining techniques use event data to discover process models, to check the
conformance of predefined process models, and to extend such models with information …
conformance of predefined process models, and to extend such models with information …
Conformance checking
A model is an artefact to represent a specific concept. It maps properties of the concept into
some abstract representation, driven by the purpose of the model. As such, models …
some abstract representation, driven by the purpose of the model. As such, models …
A systematic literature review of process modeling guidelines and their empirical support
Purpose Process modeling guidelines are a valuable instrument for increasing the quality of
process models. Since finding and selecting suitable guidelines are challenging, this paper …
process models. Since finding and selecting suitable guidelines are challenging, this paper …
Seven process modeling guidelines (7PMG)
Business process modeling is heavily applied in practice, but important quality issues have
not been addressed thoroughly by research. A notorious problem is the low level of …
not been addressed thoroughly by research. A notorious problem is the low level of …
Soundness of workflow nets: classification, decidability, and analysis
Workflow nets, a particular class of Petri nets, have become one of the standard ways to
model and analyze workflows. Typically, they are used as an abstraction of the workflow that …
model and analyze workflows. Typically, they are used as an abstraction of the workflow that …
[BOOK][B] Metrics for process models: empirical foundations of verification, error prediction, and guidelines for correctness
J Mendling - 2008 - books.google.com
Business process modeling plays an important role in the management of business
processes. As valuable design artifacts, business process models are subject to quality …
processes. As valuable design artifacts, business process models are subject to quality …
Quality dimensions in process discovery: The importance of fitness, precision, generalization and simplicity
Process discovery algorithms typically aim at discovering process models from event logs
that best describe the recorded behavior. Often, the quality of a process discovery algorithm …
that best describe the recorded behavior. Often, the quality of a process discovery algorithm …
Context aware trace clustering: Towards improving process mining results
Process Mining refers to the extraction of process models from event logs. Real-life
processes tend to be less structured and more flexible. Traditional process mining …
processes tend to be less structured and more flexible. Traditional process mining …
Activity labeling in process modeling: Empirical insights and recommendations
Few studies have investigated the factors contributing to the successful practice of process
modeling. In particular, studies that contribute to the act of develo** process models that …
modeling. In particular, studies that contribute to the act of develo** process models that …
A guidelines framework for understandable BPMN models
Business process modeling allows abstracting and reasoning on how work is structured
within complex organizations. Business process models represent blueprints that can serve …
within complex organizations. Business process models represent blueprints that can serve …