=Paper= {{Paper |id=Vol-2370/preface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-2370/preface.pdf |volume=Vol-2370 }} ==None== https://ceur-ws.org/Vol-2370/preface.pdf
Advanced Information Systems Engineering
   31st International Conference CAiSE 2019
          Rome, Italy, June 03-07, 2019




             Proceedings of
       Doctoral Consortium Papers




                   Edited by
                     Marcello La Rosa
                     University of Melbourne, Australia
                     Pierluigi Plebani
                     Politecnico di Milano, Italy
                     Manfred Reichert
                     University of Ulm, Germany
CAiSE 2019 Doctoral Consortium Papers

Proceedings




This volume of CEUR-WS Proceedings contains 8 Doctoral Consortium papers pre-
sented at the 31st International Conference on Advanced Information Systems Engi-
neering (CAiSE 2019). The conference was held in Rome, Italy, June 03-17, 2019

Copyright © 2019 for the individual papers by the papers’ authors. Copying permitted
only for private and academic purposes. This volume is published and copyrighted by
its editors.

CEUR-WS.org, ISSN
  CAiSE 2019 Doctoral Consortium Foreword

In the tradition of the CAiSE conference series, the CAiSE’19 edition
which has been located in Rome from June 3rd to June 7th hosted the
26th edition of the Doctoral Consortium which is intended to bring to-
gether PhD students working on foundations, techniques, tools and ap-
plications in the Information Systems Engineering field. The Doctoral
Consortium provides them with an opportunity to present their research
to and discuss it with an audience of peers and senior faculty in a sup-
portive environment, as well as to participate in a number of plenary
sessions with Information Systems academics.
This year the Doctoral Consortium has received 12 submissions and 8
of them have been selected to be presented during the event and to be
included in these proceedings. These papers have been selected after a
careful evaluation process involving 3 senior academics each, which
goal is to give constructive feedback and advice on the research pro-
jects presented in the papers. For the selected work, the Ph.D. student
has the opportunity meet experts with different backgrounds working
on topics related to the Information Systems Engineering field, interact
with other PhD students and stimulate an exchange of ideas and sug-
gestions among participants, and discuss concerns about research, su-
pervision, job market, and other career-related issues.
We would like to thank the Doctoral Consortium mentors for their sup-
port in reviewing the papers and stimulate the discussion during the
four sessions at CAiSE. A great thanks to the students that have applied
to the Doctoral Consortium for sharing their ideas, we wish them a long
and fruitful career in academia or industry. We also thank the General
Chairs Massimo Mecella and Barbara Pernici for their kind support to
this initiative.


                                                    Marcello La Rosa
                                                     Pierluigi Plebani
                                                    Manfred Reichert
                                            CAiSE 2019 DC Co-Chairs
Doctoral Consortium Co-Chairs
Marcello La Rosa       The University of Melbourne, Australia
Pierluigi Plebani      Politecnico di Milano, Italy
Manfred Reichert       University of Ulm, Italy


Doctoral Consortium Mentors
Johann Eder             Universität Klagenfurt, Austria
John Krogstie           NTNU, Norway
Fabrizio Maria Maggi    University of Tartu, Estonia
Andreas L Opdahl        University of Bergen, Norway
Anna Perini             Fondazione Bruno Kessler Trento, Italy
Hajo A. Reijers         Utrecht University, The Netherlands
Stefanie Rinderle-Ma    University of Vienna, Austria
Pnina Soffer            University of Haifa, Israel
Ernest Teniente         Universitat Politècnica de Catalunya, Spain
                            Table of Contents

A Big Data Perspective on Cyber-Physical Systems for Industry 4.0:
Modernizing and Scaling Complex Event Processing                        1
Carina Andrade

A Conceptual Modeling Framework for Software-Enabled Enterprise
Transformation                                                         11
Zia Babar

Providing Privacy Guarantees in Process Mining                         23
Stephan Fahrenkrog-Petersen

A Methodology for Integrating User Experience Methods and Techniques
into Agile Software Development                                        31
Andreas Hinderks

Cross-domain Research Data Management with Linked Data technologies    43
André Langer

Traceability Links Recovery in BPMN Models                             52
Raúl Lapeña

A Data-driven Framework to Facilitate Automated Requirements Engi-
neering                                                                60
Sachiko Lim

The Quest for a Database Selection and Design Method                   69
Noa Roy-Hubara