DIAGNOSIS AND PREDICTION OF BUSINESS PROCESS DEVIANCES

Identifying candidate routines for robotic process automation from unsegmented ui logs

V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A Polyvyanyy

2020-10-01

Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems

Artem Polyvyanyy, Andreas Solti, Matthias Weidlich, Claudio Di Ciccio, Jan Mendling

2020-06-16

The behavioural comparison of systems is an important concern of software engineering research. For example, the areas of specific..

Business Process Variant Analysis Based on Mutual Fingerprints of Event Logs

F Taymouri, M La Rosa, J Carmona

2020-06-03

Comparing business process variants using event logs is a common use case in process mining. Existing techniques for process varia..

Stochastic-Aware Conformance Checking: An Entropy-Based Approach

SJJ Leemans, A Polyvyanyy

2020-06-03

Business process management (BPM) aims to support changes and innovations in organizations’ processes. Process mining complements ..

Detection and removal of infrequent behavior from event streams of business processes

SJ van Zelst, M Fani Sani, A Ostovar, R Conforti, M La Rosa

2020-05-01

Process mining aims at gaining insights into business processes by analyzing the event data that is generated and recorded during ..

Automated discovery of declarative process models with correlated data conditions

V Leno, M Dumas, FM Maggi, M La Rosa, A Polyvyanyy

2020-03-01

Automated process discovery techniques enable users to generate business process models from event logs extracted from enterprise ..

A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics

Anna Kalenkova, Artem Polyvyanyy, Marcello La Rosa

2020-01-01

A plethora of algorithms for automatically discovering process models from event logs has emerged. The discovered models are used ..

A Spectrum of Entropy-Based Precision and Recall Measurements Between Partially Matching Designed and Observed Processes

Anna Kalenkova, Artem Polyvyanyy

2020-01-01

Modern software systems are often built using service-oriented principles. Atomic components, be that web-or micro services, allow..

Automated Discovery of Data Transformations for Robotic Process Automation

Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio M Maggi, Artem Polyvyanyy

2020-01-01

Robotic Process Automation (RPA) is a technology for automating repetitive routines consisting of sequences of user interactions w..

Automated Repair of Process Models Using Non-Local Constraints

Anna Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa

2020-01-01

State-of-the-art process discovery methods construct free-choice process models from event logs. Hence, the constructed models do ..

Automatic Repair of Same-Timestamp Errors in Business Process Event Logs

Raffaele Conforti, Marcello La Rosa, Arthur ter Hofstede, Adriano Augusto

2020-01-01

This paper contributes an approach for automatically correcting “same timestamp” errors in business process event logs. These erro..

The Information Systems Modeling Suite

Jan Martijn EM van der Werf, Artem Polyvyanyy

2020-01-01

According to our recent proposal, an information system is a combination of a process model captured as a Petri Net with Identifie..

Metaheuristic Optimization for Automated Business Process Discovery

A Augusto, M Dumas, M La Rosa

2019-09-01

The problem of automated discovery of process models from event logs has been intensely investigated in the past two decades, lead..

Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring

I Verenich, Marlon Dumas, M La Rosa, Fabrizio Maggi, Irene Teinemaa

2019-08-01

Predictive business process monitoring methods exploit historical process execution logs to generate predictions about running ins..

Monotone Conformance Checking for Partially Matching Designed and Observed Processes

Artem Polyvyanyy, Anna Kalenkova

2019-06-24

Conformance checking is a subarea of process mining that studies relations between designed processes, also called process models,..

Information Systems Modeling: Language, Verification, and Tool Support

Artem Polyvyanyy, Jan Martijn van der Werf, Sietse Overbeek, Rick Brouwers

2019-06-03

Information and processes are both important aspects of information systems. Nevertheless, most existing languages for modeling in..

Predicting process performance: A white‐box approach based on process models

I Verenich, Marlon Dumas, M La Rosa, H Nguyen

2019-06-01

Predictive business process monitoring methods exploit historical process execution logs to provide predictions about running inst..

Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

A Augusto, R Conforti, M Dumas, M La Rosa, A Polyvyanyy

2019-05-01

The problem of automated discovery of process models from event logs has been intensively researched in the past two decades. Desp..

Action logger: Enabling process mining for robotic process automation

V Leno, A Polyvyanyy, M La Rosa, M Dumas, FM Maggi

2019-01-01

This paper presents a tool, called Action Logger, for recording user interface (UI) logs, i.e., logs of user interactions with inf..

Comprehensive process drift analysis with the visual drift detection tool

A Yeshchenko, CD Ciccio, J Mendling, A Polyvyanyy

2019-01-01

Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processe..

Information Systems Modeling: Language, Verification, and Tool Support

A Polyvyanyy, JMEM van der Werf, S Overbeek, R Brouwers

2019-01-01

Information and processes are both important aspects of information systems. Nevertheless, most existing languages for modeling in..

Predictive Process Monitoring in Apromore

I Verenich, S Mõškovski, S Raboczi, M Dumas, M La Rosa, FM Maggi

2018-06-15

This paper discusses the integration of Nirdizati, a tool for predictive process monitoring, into the Web-based process analytics ..

Abstract and Compare: A Framework for Defining Precision Measures for Automated Process Discovery

A Augusto, A Armas Cervantes, R Conforti, M Dumas, M La Rosa, D Reissner

2018-03-19

Automated process discovery techniques allow us to extract business process models from event logs. The quality of process models ..

Behavioural Quotients for Precision and Recall in Process Mining

A Polyvyanyy, A Solti, M Weidlich, C Di Ciccio, J Mendling

2018-01-01

The comparison of the languages of software systems, i.e., their behaviours in terms of specified executions, is a prerequisite fo..