BPM 2018
   Sydney, Australia. September 9-14, 2018


Tutorials & Panels


Abstract: The increasing availability of neuro-physiological measurement devices at lower costs, and with a decreasing level of intrusiveness is presenting unprecedented opportunities in a number of areas that require study of human behaviour and interaction with technology artefacts. This includes the development of neuro-adaptive software that responds to the emotional and cognitive state of the user, but also provides the basis for a more in-depth understanding of the challenges that occur when interacting with or developing technology artefacts (e.g., process models). In fact, the potential of neuro-physiological measurement extends to the BPM field both from a theoretical as well as applied perspective, but so far is mostly untapped. In this tutorial we will discuss the potential of neuro-physiological measurements in BPM research and practice, using the cognitive load construct as an example. Cognitive Load is a quantifiable variable that describes the extent of human working memory capacity to process information. The study and measurement of cognitive load is growing in importance with the increasing uptake of human-in-the-loop systems. Human centric problems are abound in BPM research and practice, e.g. human understanding of process models, or process adaptations based on human behaviour. The use of Cognitive Load Theory and well-crafted Cognitive Load Measurements can provide BPM researchers with rich multi-modal data that can have profound influence on the way process technologies are designed and used. The tutorial will first present foundation concepts of neuro-physiological measurement with special focus on the Cognitive Load construct. We will then discuss the use of neuro-physiological measurement along the BPM lifecycle, highlighting both its necessity as well as providing methodological guidance on its use.

Short bio of the presenters:

- Prof. Barbara Weber, DTU Compute, Software and Process Engineering Section

Barbara Weber is a full professor and head of the software and process engineering section at the Technical University of Denmark (DTU). Moreover, she holds an associate professor position at the Department of Computer Science at the University of Innsbruck (Austria), where she leads the research cluster on business processes and workflows. Barbara holds a Habilitation degree in Computer Science and a Ph.D. in Economics from the University of Innsbruck. Barbara has published more than 145 refereed papers, for example, in Nature Scientific Reports, Information and Software Technology, Information Systems, and Data & Knowledge Engineering, Frontiers in Human Neuroscience, Journal of Management Information Systems. Barbara’s research interests include human and cognitive aspects of software and information systems engineering, process model comprehension, process of process modeling as well as process-aware and neuroadaptive software systems that are closely linked to the topic of this tutorial. Moreover, Barbara is co-organizer of the Cognise workshop series (held in conjunction with CAiSE conference) on Cognitive Aspects of Information Systems Engineering and has experience in conducting experiments with multi-modal data collection including neuro-physiological measurements.

- Prof. Shazia Sadiq, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia

Shazia Sadiq is a Professor in the School of Information Technology and Electrical Engineering at University of Queensland, Australia. She is part of the Data and Knowledge Engineering (DKE) research group and is involved in teaching and research in databases and information systems. She has published over 100 peer-reviewed publications in high ranking journals such Information Systems Journal, VLDBJ, TKDE, as well as major conferences such as SIGMOD, ICDE, ER, BPM, ICIS and CAiSE. Her main research interests are innovative solutions for Business Information Systems that span several areas including business process management, governance, risk and compliance, data quality management, workflow systems, and learning analytics. Shazia has undertaken a number of research works focused on human aspects of information systems design and use, which will inform the content of this tutorial. These include methods for development of domain, shared and cross understanding, cognitive load measurement in integrated process models, and behavior analytics in adaptive learning systems.

- Dr. Wei (Steve) Wang, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia

Wei Wang is a Postdoctoral Research Fellow in the School of Information Technology and Electrical Engineering at The University of Queensland, Australia. Wei received his Ph.D. degree in Information Systems from The University of Queensland under the supervision of Professor Shazia Sadiq and Professor Marta Indulska. He obtained his Master degree from Tsinghua University in 2013, and his Bachelor degree from Xian Jiaotong University in 2010. His main research interests are business process management, business rule management, cognitive load, and data quality. Wei has published over 10 peer-reviewed papers in high ranking conferences and journals such as BPM, CAiSE, and Journal of Computer Information Systems.

Abstract: The creation of a process model is primarily a formalization task, that faces the challenge of constructing a syntactically correct entity which accurately reflects the semantics of the reality, and is understandable to the model reader. This tutorial will provide an overview of Model Judge, a new online framework for automatically validating process models in BPMN which are created from textual descriptions. Model Judge provides explanations about quality issues in the model, and is specially meant to be a good companion for novice modelers in their learning process. Model Judge can provide diagnostics regarding model structure, writing style, and semantics by aligning annotated textual descriptions to models. The tutorial encompasses all the ingredients of the framework: a motivation for the use of online judges in the context of the process of process modelling, a description of the underlying theory, algorithms and libraries involved, and practicing exercises to get an insight of the platform as a modeller or as an instructor. The platform is available at modeljudge.cs.upc.edu.

Short bio of the presenters:

- Josep Carmona (Universitat Politècnica de Catalunya)

Josep Carmona is Associate Professor at the Department of Computer Science at Universitat Politècnica de Catalunya. In 2004, he received a PhD. in Computer Science from the same university. His research interests include process and data science, formal methods, business intelligence and business process management. Furthermore he is a founding member of the IEEE Task Force on Process Mining. Josep published around 100 articles in journals, such as Data Mining and Knowledge Discovery, IEEE TKDE, IEEE Transactions on Computers, Information Systems, Information Sciences, Software and Systems Modeling, and highly competitive conferences like BPM, Petri Nets, ECML/PKDD, ER, CoopIS, ATVA, EMNLP, LREC, DAC and ICCAD. He was General Chair at the BPM conference in 2017, and also served as PC co-chair. He also served as PC Co-chair of the ACSD 2011 in Newcastle, and co-organizes the ATAED workshop since 2011. He co-organizes the Process Discovery Contest.

- Lluís Padró (Universitat Politècnica de Catalunya)

Dr. Lluís Padró is Associate Professor at Universitat Politècnica de Catalunya. His research area is framed in Arti cial Intelligence, speci cally in Natural Language Processing, and more particularly in the development of language analyzers (morphological, syntactic, dependency, sense disambiguators, semantic role labellers, named entity recognizers, etc). He has published more than 100 papers in the main conferences (ACL, ANLP, NAACL, EACL, COLING, EMNLP, etc) and journals (Computational Linguistics, Machine Learning, Journal on Language Resources and Evaluatrion, etc) in the area. He has served as program comittee for lead conferences and journals (ACL, EACL, EMNLP, ICML, JLRE, Neurocomputing, ...). He is the founder, administrator and main developer of project FreeLing (http://nlp.lsi.upc.edu/freeling), an open-source suite o ering language analysis services in a variety of languages widely used both in academy and industry.

- Josep Sánchez-Ferreres (Universitat Politècnica de Catalunya)

Josep Sánchez-Ferreres is a PhD. student at Universitat Politècnica de Catalunya, studying the relation between natural language and formal business process representations. His research interests include Natural Language Processing, Business Process Management and Process Mining but also Machine Learning and Arti cial Intelligence. He has published papers in international conferences in the eld (BPM, CAiSE).
Abstract: With the increasing availability of business process execution data, i.e. event logs, companies are showing increasing interest in the analysis of event logs to derive "actionable" process insights. Due to the level of expertise required, the learning curve associated with some of the tools used for process mining or their licensing costs, companies often rely on external consultants to obtain such insights. In this tutorial, the audience will be offered a hands-on learning experience on how to conduct a process mining project using the open-source cloud-based platform for advanced process analytics, i.e. Apromore. The tutorial is structured in two parts. The first part focuses on the platform, e.g. how to set it up, to access it, and navigate its functionalities. The second part will guide the audience through a process mining project, covering aspects such as importing and cleaning the data, conducting preliminary process performance analysis, detecting process drifts and analysing variants, discovering BPMN models and assessing process conformance.

Short bio of the presenters:

- Raffaele Conforti - Lecturer, School of Computing and Information Systems, The University of Melbourne, Australia.

Raffaele Conforti is a Lecturer in the area of Business Process Management (BPM) with the School of Computing and Information Systems, Melbourne School of Engineering, at The University of Melbourne in Melbourne, Australia. Before joining the University of Melbourne, he was a Postdoctoral Research Fellow within the Business Process Management Discipline of Queensland University of Technology, from which he also holds a PhD. His research spans across the wide spectrum of BPM with a particular focus on process mining. In the area of process mining, his interests focus on the development of techniques for process discovery, noise filtering for process event logs, and conformance checking. He is also involved in the Apromore advanced process analytics platform, where in the past he played the role of chief architect.

- Marlon Dumas – Professor, Institute of Computer Science, University of Tartu, Estonia.

Marlon Dumas is Professor of Information Systems at University of Tartu's Institute of Computer Science, where he leads the Software Engineering and Information Systems Group. He is an active researcher in the fields of Business Process Management (BPM), business data analytics, and information systems engineering. He has co-authored over 200 research publications and earned ten best paper awards and two test-of-time awards at international conferences. His research in the field of BPM has fed into several tools, including the YAWL workflow system, the BIMP business process simulator, and the Apromore process analytics platform. He is co-author of the textbook "Fundamentals of Business Process Management", used in over 200 universities worldwide.
Abstract: In the context of BPM lifecycle, business process simulation is a form of model-based analysis conducted during the (re)design phase. Beside traditional discrete-event modeling, agent-based modeling is often presented as a sort of paradigm shift toward object orientation. This tutorial explores the topic by introducing a practical industry application of an industrial enterprise and relationship with customers, third parties and suppliers. Simulation allows to easily manage both the changing of parameters and representating the output, like key performance indicators and process performance indicators. The tutorial introduces the open-source programmable modeling environment NetLogo, which is a popular modeling software suitable for this kind of simulations. This tool is considered “by far the most professional platform in its appearance and documentation”. The program manages thousands of agents (so called “turtles”), operating independently in a landscape made of static agents, building the background of the simulation (“patches”). Main commands and procedural steps are detailed in the case study, as the use of the definition of variable, monitors, links. We follows a step-by-step approach in our practical application dealing with simulation to identify performance issues of the actual business process, as well as potential improvements based on available process data.

Short bio of the presenters:

- Emilio Sulis, research assistant, University of Turin, Italy

Emilio Sulis is temporary research assistant at the Computer Science Department, University of Turin, Italy. Actually his work focus on business process management and computational simulation. He worked in social network analysis, natural language processing and machine learning experiments. As a consultant with a social research company he developed social simulation projects in Netlogo.


Theme: Has BPM Missed the IoT Revolution?