Marcello La Rosa

Business Process Variant Analysis Based on Mutual Fingerprints of Event Logs

F Taymouri, M La Rosa, J Carmona

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

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

Journal article  |  2020  |  Information Systems

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

Journal article  |  2020  |  Information Systems

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

Conference Proceedings  |  2020  |  Proceedings of the 18th International Conference on Business Process Management (BPM 2020)

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

Preface

Seetal Dodd

Book  |  2020  |  Current Drug Safety

Seven Paradoxes of Business Process Management in a Hyper-Connected World

D Beverungen, JCAM Buijs, J Becker, C Di Ciccio, WMP van der Aalst, C Bartelheimer, J vom Brocke, M Comuzzi, K Kraume, H Leopold, M Matzner, J Mendling, N Ogonek, T Post, M Resinas, K Revoredo, A del-Río-Ortega, M La Rosa, FM Santoro, A Solti, et al.

Journal article  |  2020  |  Business & Information Systems Engineering

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

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

Conference Proceedings  |  2020  |  Conference on Business Process Management - BPM 2020

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

Automated Repair of Process Models Using Non-Local Constraints

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

Conference Proceedings  |  2020  |  Proceedings of the 41st International Conference on Application and Theory of Petri Nets and Concurrency

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

Optimized Discovery of Process Models From Event Logs: Framework and Evaluation

Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander Leemans, Seppe Vanden Broucke

Report  |  2020

considers several instantiations of the framework corresponding to four optimization metaheuristics, three automated process disco..

Robotic Process Mining: Vision and Challenges

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

Journal article  |  2020  |  Business and Information Systems Engineering

Robotic process automation (RPA) is an emerging technology that allows organizations automating repetitive clerical tasks by execu..

Automated Discovery of Data Transformations for Robotic Process Automation

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

Conference Proceedings  |  2020  |  Proceedings of AAAI-20 workshop on Intelligent Process Automation

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

Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction

Farbod Taymouri, Marcello La Rosa, Sara Monazam Erfani, Zahrah Dasht Bozorgi, Ilya Verenich

Report  |  2020

Metaheuristic Optimization for Automated Business Process Discovery

A Augusto, M Dumas, M La Rosa

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

Stage-based Discovery of Business Process Models from Event Logs

Hoang Nguyen, Marlon Dumas, Arthur ter Hofstede, Marcello La Rosa, Fabrizio M Maggi

Journal article  |  2019  |  Information Systems

An automated process discovery technique generates a process model from an event log recording the execution of a business process..

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

Journal article  |  2019  |  ACM Transactions on Intelligent Systems and Technology

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

Message from the program chairs

J Carmona, M Jans, M La Rosa

Conference Proceedings  |  2019  |  2019 International Conference on Process Mining (ICPM)

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

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

Conference Proceedings  |  2019  |  JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS

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

Journal article  |  2019  |  Knowledge and Information Systems

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

Automated Discovery of Process Models from Event Logs: Review and Benchmark

A Augusto, R Conforti, M Dumas, M La Rosa, FM Maggi, A Marrella, M Mecella, A Soo

Journal article  |  2019  |  IEEE Transactions on Knowledge and Data Engineering

Process mining allows analysts to exploit logs of historical executions of business processes to extract insights regarding the ac..

Local Concurrency Detection in Business Process Event Logs

A Armas Cervantes, Marlon Dumas, Marcello La Rosa, Abderrahmane Maaradji

Journal article  |  2019  |  ACM Transactions on Internet Technology

Process mining techniques aim at analysing records generated during the execution of a business process in order to provide insigh..

CAiSE 2019 doctoral consortium foreword

Editorship  |  2019  |  CEUR Workshop Proceedings

Discovering Automatable Routines From User Interaction Logs

Antonio Bosco, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Giancarlo Fortino

Report  |  2019  |  Lecture Notes in Business Information Processing

The complexity and rigidity of legacy applications in modern organizations engender situations where workers need to perform repet..

Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components

Daniel Reissner, Abel Armas Cervantes, Raffaele Conforti, Marlon Dumas, Dirk Fahland, Marcello La Rosa

Report  |  2019

Action logger: Enabling process mining for robotic process automation

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

Conference Proceedings  |  2019  |  CEUR Workshop Proceedings

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

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

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

Conference Proceedings  |  2019  |  Knowledge and Information Systems

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

A probabilistic approach to event-case correlation for process mining

D Bayomie, C Di Ciccio, M La Rosa, J Mendling

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Process mining aims to understand the actual behavior and performance of business processes from event logs recorded by IT systems..

The Rise of Enforceable Business Processes from the Hashes of Blockchain-Based Smart Contracts

S Migliorini, M Gambini, C Combi, M La Rosa

Conference Proceedings  |  2019  |  Lecture Notes in Business Information Processing

© 2019, Springer Nature Switzerland AG. Over the past few decades, the automation of inter-organizational processes has been the f..

Predictive Process Monitoring in Apromore

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

Conference Proceedings  |  2018  |  Lecture Notes in Business Information Processing

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

Filtering Spurious Events from Event Streams of Business Processes

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

Conference Proceedings  |  2018  |  ADVANCED INFORMATION SYSTEMS ENGINEERING, CAISE 2018

Process mining aims at gaining insights into business processes by analysing event data recorded during process execution. The maj..

Discovering process maps from event streams

MARLON Dumas

Conference Proceedings  |  2018  |  Proceedings of the 2018 International Conference on Software and System Process - ICSSP '18

© 2018 Association for Computing Machinery. Automated process discovery is a class of process mining methods that allow analysts t..

Timestamp Repair for Business Process Event Logs

R Conforti, M La Rosa, A ter Hofstede

Report  |  2018

This paper contributes an approach for automatically correcting timestamp errors in business process execution logs. These errors ..

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

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

Complete and Interpretable Conformance Checking of Business Processes

Luciano Garcia-Banuelos, Nick RTP van Beest, Marlon Dumas, Marcello La Rosa, Willem Mertens

Journal article  |  2018  |  IEEE Transactions on Software Engineering

Blockchains for business process management - Challenges and opportunities

J Mendling, I Weber, W Van Der Aalst, JV Brocke, C Cabanillas, F Daniel, S Debois, C Di Ciccio, M Dumas, S Dustdar, A Gal, L García-Bañuelos, G Governatori, R Hull, M La Rosa, H Leopold, F Leymann, J Recker, M Reichert, HA Reijers, et al.

Journal article  |  2018  |  ACM Transactions on Management Information Systems

Fundamentals of business process management: Fifty years of BPM teaching distilled

M La Rosa, J Mendling

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Automated Discovery of Structured Process Models From Event Logs: The Discover-and-Structure Approach

A Augusto, R Conforti, M Dumas, M La Rosa, G Bruno

Journal article  |  2018  |  Data and Knowledge Engineering

This article tackles the problem of discovering a process model from an event log recording the execution of tasks in a business p..

Robust Drift Characterization from Event Streams of Business Processes

Alireza Ostovar, Sander JJ Leemans, Marcello La Rosa

Report  |  2018  |  ACM Transactions on Software Engineering and Methodology

Business processes are prone to change and evolution. Process workers often change the execution of a process in order to adjust t..

Fundamentals of Business Process Management

M Dumas, M La Rosa, J Mendling, HA Reijers

Book  |  2018

This textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, co..

Multi-Perspective process model discovery for robotic process automation

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

Conference Proceedings  |  2018  |  CEUR Workshop Proceedings

© CEUR-WS. All rights reserved. Robotic Process Automation (RPA) is a novel approach for immediate cost reduction and gaining oper..

Checking business process correctness in apromore

F Fornari, M La Rosa, A Polini, B Re, F Tiezzi

Conference Proceedings  |  2018  |  Lecture Notes in Business Information Processing

© Springer International Publishing AG, part of Springer Nature 2018. In this paper we present the integration of BProVe - Busines..

Multi-perspective comparison of business process variants based on event logs

H Nguyen, M Dumas, M La Rosa, AHM ter Hofstede

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer Nature Switzerland AG 2018. A process variant represents a collection of cases with certain shared characteristics, e.g..

Detecting sudden and gradual drifts in business processes from execution traces

A Maaradji, M Dumas, ML Rosa, A Ostovar

Journal article  |  2017  |  IEEE Transactions on Knowledge and Data Engineering

White-box prediction of process performance indicators via flow analysis

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

Conference Proceedings  |  2017  |  ACM International Conference Proceeding Series

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

Business process variability modeling: A survey

M La Rosa, WMP Van Der Aalst, M Dumas, FP Milani

Journal article  |  2017  |  ACM Computing Surveys

Filtering Out Infrequent Behavior from Business Process Event Logs

Raffaele Conforti, Marcello La Rosa, Arthur HM ter Hofstede

Journal article  |  2017  |  IEEE Transactions on Knowledge and Data Engineering

Discovering causal factors explaining business process performance variation

BFA Hompes, A Maaradji, M La Rosa, M Dumas, JCAM Buijs, WMP Van Der Aalst

Conference Proceedings  |  2017  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer International Publishing AG 2017. Business process performance may be affected by a range of factors, such as the volum..

Stage-based business process mining

H Nguyen, M La Rosa, M Dumas, AHM Ter Hofstede

Conference Proceedings  |  2017  |  CEUR Workshop Proceedings

Copyright 2017 for this paper by its authors. Evidence-based BPM has gained significant momentum in recent years, thanks to the wi..

Nirdizati: A web-based tool for predictive process monitoring

C Ghidini, FM Maggi, M La Rosa, S Raboczi

Conference Proceedings  |  2017  |  CEUR Workshop Proceedings

This paper introduces Nirdizati: A web-based application for generating predictions about running cases of a business process. Nir..

Predictive Business Process Monitoring with LSTM Neural Networks

Niek Tax, Ilya Verenich, Marcello La Rosa, Marlon Dumas

Conference Proceedings  |  2017  |  ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2017)

Checking business process modeling guidelines in apromore

F Fornari, S Gnesi, M La Rosa, Andrea Polini, B Re, GO Spagnolo

Conference Proceedings  |  2017  |  CEUR Workshop Proceedings

We present the integration of BEBoP - understandaBility vErifier for Business Process models, into the Apromore open-source proces..

Incremental and interactive business process model repair in apromore

Marcello La Rosa

Conference Proceedings  |  2017  |  CEUR Workshop Proceedings

This paper presents the integration of a plugin for interactive and incremental business process repair into the Apromore advanced..

Characterizing drift from event streams of business processes

A Ostovar, A Maaradji, M La Rosa, AHM Ter Hofstede

Conference Proceedings  |  2017  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer International Publishing AG 2017. Early detection of business process drifts from event logs enables analysts to identi..

Mining business process stages from event logs

H Nguyen, M Dumas, AHM Ter Hofstede, M La Rosa, FM Maggi

Conference Proceedings  |  2017  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer International Publishing AG 2017. Process mining is a family of techniques to analyze business processes based on event..

Interactive and incremental business process model repair

A Armas Cervantes, NRTP van Beest, M La Rosa, M Dumas, L García-Bañuelos

Conference Proceedings  |  2017  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© 2017, Springer International Publishing AG. It is common for the observed behavior of a business process to differ from the beha..

Scalable conformance checking of business processes

D Reißner, R Conforti, M Dumas, M La Rosa, A Armas-Cervantes

Conference Proceedings  |  2017  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© 2017, Springer International Publishing AG. Given a process model representing the expected behavior of a business process and a..

BPMN Miner: Automated discovery of BPMN process models with hierarchical structure

Raffaele Conforti, Marlon Dumas, Luciano Garcia-Banuelos, Marcello La Rosa

Journal article  |  2016  |  Information Systems

Business process management: Don’t forget to improve the process!

WMP Van Der Aalst, M La Rosa, FM Santoro

Journal article  |  2016  |  Business & Information Systems Engineering

Business process performance mining with staged process flows

H Nguyen, M Dumas, AHM Ter Hofstede, M La Rosa, FM Maggi

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

BPMN miner 2.0: Discovering hierarchical and block-structured BPMN process models

R Conforti, A Augusto, ML Rosa, M Dumas, L García-Bañuelos

Conference Proceedings  |  2016  |  CEUR Workshop Proceedings

Copyright © 2016 for this paper by its authors. We present BPMN Miner 2.0: a tool that extracts hierarchical and block-structured ..

Behavior-based process comparison in Apromore

A Armas-Cervantes, NRTP Van Beest, M Dumas, L García-Bañuelos, ML Rosa

Conference Proceedings  |  2016  |  CEUR Workshop Proceedings

Copyright © 2016 for this paper by its authors. This paper presents the integration of three behavior-based comparison operations ..

Detecting drift from event streams of unpredictable business processes

A Ostovar, A Maaradji, M La Rosa, AHM ter Hofstede, BFV van Dongen

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Automated Discovery of Structured Process Models: Discover Structured vs. Discover and Structure

Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Giorgio Bruno

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Business Process Management

Editorship  |  2016  |  Lecture Notes in Artificial Intelligence

Complex Symbolic Sequence Clustering and Multiple Classifiers for Predictive Process Monitoring

Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Chiara Di Francescomarino

Conference Proceedings  |  2016  |  Lecture Notes in Business Information Processing

Minimizing overprocessing waste in business processes via predictive activity ordering

I Verenich, M Dumas, M La Rosa, FM Maggi, C Di Francescomarino

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Interview with Michael Rosemann on “The role of business process management in modern organizations”

M La Rosa

Journal article  |  2015  |  Business & Information Systems Engineering

Untanglings: a novel approach to analyzing concurrent systems

Artem Polyvyanyy, Marcello La Rosa, Chun Ouyang, Arthur HM ter Hofstede

Journal article  |  2015  |  Formal Aspects of Computing

Substantial research efforts have been expended to deal with the complexity of concurrent systems that is inherent to their analys..

Strategic business process management

M La Rosa

Conference Proceedings  |  2015  |  Proceedings of the 2015 International Conference on Software and System Process - ICSSP 2015

Detecting approximate clones in business process model repositories

Marcello La Rosa, Marlon Dumas, Chathura C Ekanayake, Luciano Garcia-Banuelos, Jan Recker, Arthur HM ter Hofstede

Journal article  |  2015  |  Information Systems

Special issue on best papers from the "BPM 2012" workshops

Marcello La Rosa, Pnina Soffer

Journal article  |  2015  |  Information Systems and e-Business Management

Analysis of business process variants in apromore

R Conforti, M Dumas, M La Rosa, A Maaradji, HH Nguyen, A Ostovar, S Raboczi

Conference Proceedings  |  2015  |  CEUR Workshop Proceedings

Copyright © 2015 for this paper by its authors. In this paper we illustrate a set of features of the Apromore process model reposi..

A recommendation system for predicting risks across multiple business process instances

Raffaele Conforti, Massimiliano de Leoni, Marcello La Rosa, Wil MP van der Aalst, Arthur HM ter Hofstede

Journal article  |  2015  |  Decision Support Systems

Preface to the 4th international workshop on process model collections: Management and reuse

LH Thom, M Fantinato, M La Rosa, R Dijkman

Book  |  2015  |  Lecture Notes in Business Information Processing

Log delta analysis: Interpretable differencing of business process event logs

NRTP van Beest, M Dumas, L García-Bañuelos, M La Rosa

Conference Proceedings  |  2015  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Process querying in apromore

M La Rosa, Artem Polyvyanyy, Luigi Corno, Raffaele Conforti, Simon Raboczi, Giancarlo Fortino

Conference Proceedings  |  2015  |  CEUR Workshop Proceedings

Process querying addresses the problem of automatically retrieving process models from collections thereof on the basis of user-de..

Fast and accurate business process drift detection

A Maaradji, M Dumas, M La Rosa, A Ostovar

Conference Proceedings  |  2015  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Controlled automated discovery of collections of business process models

Luciano Garcia-Banuelos, Marlon Dumas, Marcello La Rosa, Jochen De Weerdt, Chathura C Ekanayake

Journal article  |  2014  |  Information Systems

BPM Use Cases - Structuring the Business Process Management Discipline

Wil MP van der Aalst, Marcello La Rosa, Flavia Maria Santoro

Journal article  |  2014  |  Business & Information Systems Engineering

Beyond Tasks and Gateways: Discovering BPMN Models with Subprocesses, Boundary Events and Activity Markers

Raffaele Conforti, Marlon Dumas, Luciano Garcia-Banuelos, Marcello La Rosa

Conference Proceedings  |  2014  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Indexing and Efficient Instance-Based Retrieval of Process Models Using Untanglings

Artem Polyvyanyy, Marcello La Rosa, Arthur HM ter Hofstede

Conference Proceedings  |  2014  |  ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2014)

Process-Aware Information Systems (PAISs) support executions of operational processes that involve people, resources, and software..

The 4C spectrum of fundamental behavioral relations for concurrent systems

A Polyvyanyy, M Weidlich, R Conforti, M La Rosa, AHM Ter Hofstede

Conference Proceedings  |  2014  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

The design of concurrent software systems, in particular process-aware information systems, involves behavioral modeling at variou..

Simplifying process model abstraction: Techniques for generating model names

Henrik Leopold, Jan Mendling, Hajo A Reijers, Marcello La Rosa

Journal article  |  2014  |  Information Systems

Current research in risk-aware business process management-overview, comparison, and gap analysis

S Suriadi, B Weiß, A Winkelmann, AHM ter Hofstede, M Adams, R Conforti, C Fidge, M La Rosa, C Ouyang, A Pika, M Rosemann, M Wynn

Journal article  |  2014  |  Communications of the Association for Information Systems

Mining Business Process Deviance: A Quest for Accuracy

Nguyen Hoang, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Suriadi Suriadi

Conference Proceedings  |  2014  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Real-time risk monitoring in business processes: A sensor-based approach

Raffaele Conforti, Marcello La Rosa, Giancarlo Fortino, Arthur HM ter Hofstede, Jan Recker, Michael Adams

Journal article  |  2013  |  Journal of Systems and Software

Slice, mine and dice: Complexity-aware automated discovery of business process models

CC Ekanayake, M Dumas, L García-Bañuelos, M La Rosa

Conference Proceedings  |  2013  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Supporting risk-informed decisions during business process execution

R Conforti, M De Leoni, M La Rosa, WMP Van Der Aalst

Conference Proceedings  |  2013  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Fast detection of exact clones in business process model repositories

Marlon Dumas, Luciano Garcia-Banuelos, Marcello La Rosa, Reina Uba

Journal article  |  2013  |  Information Systems

Business Process Model Merging: An Approach to Business Process Consolidation

Marcello La Rosa, Marlon Dumas, Reina Uba, Remco Dijkman

Journal article  |  2013  |  ACM Transactions on Software Engineering and Methodology

Invited talk: Managing large process model collections: Challenges and expectations from practice

M La Rosa

Book  |  2013  |  Lecture Notes in Business Information Processing

APQL: A Process-Model Query Language

Arthur HM ter Hofstede, Chun Ouyang, Marcello La Rosa, Liang Song, Jianmin Wang, Artem Polyvyanyy

Conference Proceedings  |  2013  |  ASIA PACIFIC BUSINESS PROCESS MANAGEMENT

As business process management technology matures, organisations acquire more and more business process models. The management of ..

Efficient querying of large process model repositories

Tao Jin, Jianmin Wang, Marcello La Rosa, Arthur ter Hofstede, Lijie Wen

Journal article  |  2013  |  Computers in Industry

Process monitoring using sensors in YAWL

R Conforti, M La Rosa, G Fortino

Conference Proceedings  |  2013  |  CEUR Workshop Proceedings

This article describes the architecture of a monitoring component for the YAWL system. The architecture proposed is based on senso..

Improving Business Process Models Using Observed Behavior

JCAM Buijs, M La Rosa, HA Reijers, BF van Dongen, WMP van der Aalst

Conference Proceedings  |  2013  |  Lecture Notes in Business Information Processing

A software framework for risk-aware business process management

R Conforti, M La Rosa, AHM Ter Hofstede, G Fortino, M De Leoni, WMP Van Der Aalst, M Adams

Conference Proceedings  |  2013  |  CEUR Workshop Proceedings

Automated risk mitigation in business processes

R Conforti, AHM Ter Hofstede, M La Rosa, M Adams

Conference Proceedings  |  2012  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Understanding business process models: The costs and benefits of structuredness

M Dumas, M La Rosa, J Mendling, R Mäesalu, HA Reijers, N Semenenko

Conference Proceedings  |  2012  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Ensuring correctness during process configuration via partner synthesis

Wil MP van der Aalst, Niels Lohmann, Marcello La Rosa

Journal article  |  2012  |  Information Systems

Thresholds for error probability measures of business process models

Jan Mendling, Laura Sanchez-Gonzalez, Felix Garcia, Marcello La Rosa

Journal article  |  2012  |  Journal of Systems and Software

Understanding user differences in open-source workflow management system usage intentions

Jan Recker, Marcello La Rosa

Journal article  |  2012  |  Information Systems

Managing large collections of business process models-Current techniques and challenges

Remco Dijkman, Marcello La Rosa, Hajo A Reijers

Journal article  |  2012  |  Computers in Industry

Approximate Clone Detection in Repositories of Business Process Models

Chathura C Ekanayake, Marlon Dumas, Luciano Garcia-Banuelos, Marcello La Rosa, Arthur HM ter Hofstede

Conference Proceedings  |  2012  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Detecting approximate clones in process model repositories with apromore

CC Ekanayake, F Mannhardt, L García-Bañuelos, M La Rosa, M Dumas, AHMT Hofstede

Conference Proceedings  |  2012  |  CEUR Workshop Proceedings

Process Mining Manifesto

Wil van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos Buijs, Andrea Burattin, Josep Carmona, Malu Castellanoss, Jan Claes, Jonathan Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, et al.

Conference Proceedings  |  2012  |  Lecture Notes in Business Information Processing

SOA approaches

T Kohlbom, M La Rosa

Book Chapter  |  2012

First International Workshop on Process Model Collections (PMC 2011)

H Reijers, M La Rosa, R Dijkman

Book  |  2012  |  Lecture Notes in Business Information Processing

Managing Process Model Complexity Via Abstract Syntax Modifications

Marcello La Rosa, Petia Wohed, Jan Mendling, Arthur HM ter Hofstede, Hajo A Reijers, Wil MP van der Aalst

Journal article  |  2011  |  IEEE Transactions on Industrial Informatics

Automated error correction of business process models

M Gambini, M La Rosa, S Migliorini, AHM Ter Hofstede

Conference Proceedings  |  2011  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Discovering characteristics of stochastic collections of process models

K Van Hee, M La Rosa, Z Liu, N Sidorova

Conference Proceedings  |  2011  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Clone detection in repositories of business process models

R Uba, M Dumas, L García-Bañuelos, M La Rosa

Conference Proceedings  |  2011  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

APROMORE: An advanced process model repository

Marcell La Rosa, Hajo A Reijers, Wil MP van der Aalst, Remco M Dijkman, Jan Mendling, Marlon Dumas, Luciano Garcia-Banuelos

Journal article  |  2011  |  Expert Systems with Applications

Managing Process Model Complexity via Concrete Syntax Modifications

Marcello La Rosa, Arthur HM ter Hofstede, Petia Wohed, Hajo A Reijers, Jan Mendling, Wil MP van der Aalst

Journal article  |  2011  |  IEEE Transactions on Industrial Informatics

IMPACT Open Source Software for Workflow Management: The Case of YAWL

Michael Adams, Arthur HM ter Hofstede, Marcello La Rosa

Journal article  |  2011  |  IEEE Software

Configurable multi-perspective business process models

Marcello La Rosa, Marlon Dumas, Arthur HM ter Hofstede, Jan Mendling

Journal article  |  2011  |  Information Systems

Fragment-Based Version Management for Repositories of Business Process Models

Chathura C Ekanayake, Marcello La Rosa, Arthur HM ter Hofstede, Marie-Christine Fauvet

Conference Proceedings  |  2011  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

History-Aware, Real-Time Risk Detection in Business Processes

Raffaele Conforti, Giancarlo Fortino, Marcello La Rosa, Arthur HM ter Hofstede

Conference Proceedings  |  2011  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Preface

M La Rosa

Conference Proceedings  |  2010  |  CEUR Workshop Proceedings

Preserving correctness during business process model configuration

Wil MP van der Aalst, Marlon Dumas, Florian Gottschalk, Arthur HM ter Hofstede, Marcello La Rosa, Jan Mendling

Conference Proceedings  |  2010  |  Formal Aspects of Computing

Process configuration

F Gottschalk, M La Rosa

Book Chapter  |  2010

Correctness Ensuring Process Configuration: An Approach Based on Partner Synthesis

Wil van der Aalst, Niels Lohmann, Marcello La Rosa, Jingxin Xu

Conference Proceedings  |  2010  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Managing Process Model Collections with AProMoRe

MC Fauvet, M La Rosa, M Sadegh, A Alshareef, RM Dijkman, Luciano Garcia-Banuelos, HA Reijers, WMP van der Aalst, Marlon Dumas, Jan Mendling

Conference Proceedings  |  2010  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Merging Business Process Models

Marcello La Rosa, Marlon Dumas, Reina Uba, Remco Dijkman

Conference Proceedings  |  2010  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Efficient and Accurate Retrieval of Business Process Models through Indexing

Tao Jin, Jianmin Wang, Nianhua Wu, Marcello La Rosa, Arthur HM ter Hofstede

Conference Proceedings  |  2010  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

The architecture

M Adams, M Dumas, M La Rosa

Book Chapter  |  2010

The design environment

S Clemens, M La Rosa, AHM Ter Hofstede

Book Chapter  |  2010

Appendix a the order fulfillment process model

M La Rosa, S Clemens, AHM Ter Hofstede, N Russell

Book Chapter  |  2010

Controlled flexibility and lifecycle management of business processes through extensibility

S Balko, AHM Ter Hofstede, A Barros, M La Rosa, M Adams

Conference Proceedings  |  2009  |  Enterprise Modelling and Information Systems Architectures, EMISA 2009

Modelling business process variability for design-time configuration

M La Rosa, M Dumas, AHM ter Hofstede

Book Chapter  |  2009

A reference process model represents multiple variants of a common business process in an integrated and reusable manner. It is in..

Questionnaire-based variability modeling for system configuration

Marcello La Rosa, Wil MP van der Aalst, Marlon Dumas, Arthur HM ter Hofstede

Journal article  |  2009  |  Software & Systems Modeling

Domain-Driven Process Adaptation in Emergency Scenarios

Marcello La Rosa, Jan Mendling

Conference Proceedings  |  2009  |  Lecture Notes in Business Information Processing

YAWL: Power through patterns

M Adams, S Clemens, M La Rosa, AHM Ter Hofstede

Conference Proceedings  |  2009  |  CEUR Workshop Proceedings

Configurable Process Models: Experiences from a Municipality Case Study

Florian Gottschalk, Teun AC Wagemakers, Monique H Jansen-Vullers, Wil MP van der Aalst, Marcello La Rosa

Conference Proceedings  |  2009  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Synergia-comprehensive tool support for configurable process models

M La Rosa, F Gottschalk

Conference Proceedings  |  2009  |  CEUR Workshop Proceedings

Toward Web-scale workflows for film production

Chun Ouyang, Marcello La Rosa, Arthur HM ter Hofstede, Marlon Dumas, Katherine Shortland

Journal article  |  2008  |  IEEE Internet Computing

Configurable workflow models

Florian Gottschalk, Wil MP Van der Aalst, Monique H Jansen-Vullers, Marcello La Rosa

Journal article  |  2008  |  International Journal of Cooperative Information Systems

Beyond Control-Flow: Extending Business Process Configuration to Roles and Objects

M La Rosa, M Dumas, AHM ter Hofstede, J Mendling, F Gottschalk

Conference Proceedings  |  2008  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Correctness-preserving configuration of business process models

Wil MP van der Aalst, Marlon Dumas, Florian Gottschalk, Arthur HM ter Hofstede, Marcello La Rosa, Jan Mendling

Conference Proceedings  |  2008  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Linking domain models and process models for reference model configuration

Marcello La Rosa, Florian Gottschalk, Marlon Dumas, Wil MP van der Aalst

Conference Proceedings  |  2008  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Service-Oriented Processes: An Introduction to BPEL

Chun Ouyang, Wil MP van der Aalst, Marlon Dumas, Arthur HM ter Hofstede, Marcello La Rosa

Book Chapter  |  2007

Questionnaire-driven configuration of reference process models

Marcello La Rosa, Johannes Lux, Stefan Seidel, Marlon Dumas, Arthur HM ter Hofstede

Conference Proceedings  |  2007  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

On collaborations and choreographies

G Bruno, G Bruno, M La Rosa

Conference Proceedings  |  2006  |  Proceedings of the 1st International Workshop on Technologies for Collaborative Business Process Management, TCoB 2006, in Conjunction with ICEIS 2006

From collaboration models to BPEL processes through service models

G Bruno, M La Rosa

Conference Proceedings  |  2006  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Special issue - Papers presented at the 9th International Conference on Flow Analysis, Geelong, Australia, 10-14 February 2003 - Foreword

N Barnett, I McKelvie

Creative Published Work  |  2003  |  Analytica Chimica Acta