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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

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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

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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

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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

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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

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