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CAiSE 2018 : CfP: CAiSE 2018 (30th International Conference on Advanced Information Systems Engineering)


Conference Series : Conference on Advanced Information Systems Engineering
When Jun 11, 2018 - Jun 15, 2018
Where Tallin, Estonia
Abstract Registration Due Nov 24, 2017
Submission Deadline Dec 1, 2017
Notification Due Feb 23, 2018
Categories    information systems   computer science   software engineering   engineering

Call For Papers

CAiSE 2018 - 30th International Conference on Advanced Information
Systems Engineering
11-15 June 2018, Tallin, Estonia

Abstract Submission: 24 November 2017 Paper Submission: 01 December 2017 (strict!)

Theme: Information Systems in the Big Data Era

Over the last years, Big Data and Artificial Intelligence technologies have gradually found their way into
mainstream information systems. As these technologies mature and demonstrate their business value, they go
from providing isolated functionality to becoming integrated into large and complex information systems,
which entails that they have to be maintained and evolved in a sustainable manner. This maintenance imperative
raises new challenges for information systems engineers due to the level of sophistication and the demanding
infrastructure requirements that characterize these technologies.

The CAiSE conference will continue its tradition as the premiere venue for innovative and rigorous research
across the whole spectrum of Information Systems Engineering, while placing a special emphasis on the theme of
Information Systems in The Big Data Era. This year’s theme acknowledges the disruptions brought about by the
abundance of Big Data sources on government and business services, their users and customers, as well as the
environments in which they are generated. This data abundance creates new opportunities to develop smart and
personalized information systems, but also raises new challenges for information systems engineers, for example
in the areas of scalable data cleaning, integration and processing, and real-time and predictive data analytics.
Besides offering an exciting scientific program, CAiSE ’18 will feature a best paper award, a special issue, and
a PhD-thesis award:201

* CAiSE ’18 Best Paper Award: CAiSE ’18 will award the best paper (prize 1.000 € – sponsored by Springer Verlag).
* Special Issue of CAiSE ’18 in the “Information Systems Journal”: Authors of the selected papers of CAiSE ’18
will be invited to submit an extended version of their paper to the CAiSE ’18 special issue of the
„Information Systems Journal“.
* CAiSE ’18 PhD-Thesis Award: CAiSE’18 will award the best PhD thesis of a past CAISE Doctoral Consortium author
(co-sponsored by the CAiSE Steering Committee and Springer). Additional information will be provided soon for this

Papers should be submitted in PDF format. The results described must be unpublished and must not be under review
elsewhere. Submissions must conform to Springer’s LNCS format and should not exceed 15 pages, including all text,
figures, references and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being
obviously out of the scope of the conference, will be rejected without review. Information about the Springer LNCS
format can be found at Three to five keywords characterizing the
paper should be listed at the end of the abstract.

Submission is done through CyberChair at the following page:
Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one
additional program board member. The selected papers will be discussed among the paper reviewers on-line and
additionally during the program board meeting in Amesterdam. Accepted papers will be presented at CAiSE ’18
and published in the conference proceedings
(Springer Lecture Notes in Computer Science (LNCS)).

Main Conference
Abstract Submission: 24 November 2017
Paper Submission: 01 December 2017 (strict!)
Notification of Acceptance: 23 February 2018

Other deadlines
Workshop Proposals: 15 October 2017
CAiSE Forum: 4 March 2018
Notification of Acceptance: 1 April 2018

We invite four types of original and scientific papers:

* Formal and/or technical papers describe original solutions (theoretical, methodological or conceptual) in the
field of IS engineering. A technical paper should clearly describe the situation or problem tackled, the relevant
state of the art, the position or solution suggested and the potential – or, even better, the evaluated –
benefits of the contribution.

* Empirical evaluation papers evaluate existing problem situations or validate proposed solutions with scientific
means, i.e. by empirical studies, experiments, case studies, simulations, formal analyses, mathematical proofs,
etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the
evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research
method must be sound and appropriate.

* Experience papers present problems or challenges encountered in practice, relate success and failure stories,
or report on industrial practice. The focus is on ‘what’ and on lessons learned, not on an in-depth analysis of
‘why’. The practice must be clearly described and its context must be given. Readers should be able to draw
conclusions for their own practice.

* Exploratory papers can describe completely new research positions or approaches, in order to face a generic
situation arising because of new ICT tools, new kinds of activities or new IS challenges. They must describe
precisely the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are
inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness to
addressing the identified situation.

For all the submissions and depending on their type, we invite the authors to be explicit about the research
method used.

Contributions are welcome in terms of models, methods, techniques, architecture and technologies.
Each contribution should explicitly address the engineering or the operation of information systems.
Each contribution should clearly identify the information systems problem addressed as well as the expected
positive impact of the contribution to information system engineering or operation. We strongly advise authors
to clearly emphasize those aspects in their paper, including the abstract.

Contributions about methods, models, techniques, architectures and platforms for supporting the engineering and
evolution of information systems and organizations in the big data era could include (but are not
limited to):

* Novel approaches to IS Engineering

Context-aware and adaptive systems
Agile enterprise models and architecture
Distributed, mobile and open architecture
IS for collaboration
Social computing
Customer analytics
Big data application in IS
Application of AI in IS
Data and business analytics
Use of new visualization-techniques in IS
Service science and innovation

* Models, Methods and Techniques in IS Engineering

Conceptual modeling, languages and design
Requirements engineering
Business process modeling, analysis, and engineering
Process mining
Models and methods for evolution and reuse
Domain and method engineering
Variability and configuration management
Compliance and alignment handling
Active and interactive models
Quality of IS models for analysis and design

* Architectures and Platforms in and for IS Engineering

Big Data architectures
Cloud-based IS engineering
Service oriented IS engineering
Multi-agent IS engineering
Robotic Process Automation
Multi-platform IS engineeering
Cyber-physical systems
Big data and the Internet of Things
Digital twins
Workflow and PAIS systems
Handling of real time data streams
Content management and semantic Web

* Domain Specific and multi-aspect IS Engineering

IT governance
Smart City management
Industrial ecology management
IS for healthcare
Educational IS
Value and supply chain management
Industry 4.0
Sustainability and social responsibility management
Predictive information systems
Big Data and privacy
Security and safety management
Dark data processing

Organising Committee

Steering Committee Chairs
Johann Eder, Alpen Adria Universität Klagenfurt, Austria
Barbara Pernici, Politecnico di Milano, Italy
John Krogstie, Norwegian University of Science and Technology, Norway

General Chairs
Marlon Dumas, University of Tartu, Estonia
Andreas Opdahl, University of Bergen, Norway

Program Chairs
John Krogstie, Norwegian University of Science and Technology, Norway
Hajo Reijers, Vrije Universiteit Amsterdam, The Netherlands

Workshop Chairs
Remco Dijkman, Eindhoven University of Technology, The Netherlands
Raimundas Matulevicius, University of Tartu, Estonia

Forum Chairs
Jan Mendling, Vienna University of Business and Economics, Austria
Haralambos Mouratidis, University of Brighton, UK

Tutorial / Panel Chairs
Massimo Mecella, University of Rome La Sapienza, Italy
Selmin Nurcan, Université Paris 1 Panthéon Sorbonne, France

Doctoral Consortium Chairs
Marite Kirikova, Riga Technical University, Latvia
Audrone Lupeikiene, Vilnius University, Lithuania
Ernest Teniente, Universitat Politècnica de Catalunya, Spain

Industry Chairs
Dirk Draheim, Tallinn University of Technology, Estonia
Darius Šilingas, NoMagic, Lithuania

Publicity Chairs
Jennifer Horkoff, Chalmers University of Technology, Sweden
Ingo Weber, CSIRO Data61 Lab, Australia
Liang Zhang, Fudan University, China

Web and Social Media Chair
Alexander Nolte, University of Pittsburgh & Carnegie Mellon University, USA

Organization Chairs
Fabrizio Maggi, University of Tartu, Estonia
Fredrik P. Milani, University of Tartu, Estonia

Program Board Members

Sjaak Brinkkemper Utrecht University, Netherlands
Eric Dubois Luxembourg Institute of Science and Technology, Luxembourg
Johann Eder Alpen Adria Universität Klagenfurt, Austria
Xavier Franch Universitat Politècnica de Catalunya, Spain
Paolo Giorgini University of Trento, Italy
Matthias Jarke RWTH Aachen University, Germany
Pericles Loucopoulos The University of Manchester, United Kingdom
Heinrich C. Mayr Alpen-Adria-Universität Klagenfurt, Austria
John Mylopoulos University of Trento, Italy
Selmin Nurcan Université Paris 1 Panthéon-Sorbonne, France
Andreas Opdahl University of Bergen, Norway
Oscar Pastor Universitat Politecnica de Valencia, Spain
Klaus Pohl University of Duisburg-Essen, Germany
Henderik A. Proper CRP Henri-Tudor, Luxembourg
Jolita Ralyte University of Geneva, Switzerland
Manfred Reichert Ulm University, Germany
Stefanie Rinderle-Ma University of Vienna, Austria
Pnina Soffer University of Haifa, Israel
Janis Stirna Stockholm University, Sweden
Yannis Vassiliou National Technical University of Athens, Greece
Barbara Weber Technical University of Denmark, Denmark
Roel Wieringa University of Twente, The Netherlands

Program Committee Members

Wil van der Aalst Eindhoven University of Technology, Netherlands
João Araújo Univeritat Nova de Lisboa, Portugal
Marko Bajec University of Ljubljana, Faculty of Computer & Information Science, Slovenia
Joerg Becker ERCIS, Westfälische Wilhelms-Universität Münster,Germany
Boualem Benatallah The University of New South Wales, Australia
Albertas Caplinskas Vilnius University, Lithuania
Valeria De Antonellis Università degli Studi di Brescia, Italy/University of Brescia, Italy
Oscar Díaz University of the Basque Country, Spain
Maria Dolors Costal CostaUniversitat Politècnica de Catalunya, Spain
Schahram Dustdar TU Wien, Austria
João Falcão e Cunha Universidade do Porto, Portugal
Avigdor Gal Technion, Israel Institute of Technology, Israel
Janis Grabis Riga Technical University, Latvia
Giancarlo Guizzardi Free University of Bozen-Bolzano, Italy
Jun Han Swinburne University of Technology, Australia
Jennifer Horkoff Chalmers and the University of Gothenburg, Sweden
Marta Indulska University of Queensland, Australia
Marite Kirikova Technical University, Latvia
Agnes Koschmider Karlsruhe Institute of Technology, Germany
Marcello La Rosa Queensland University of Technology, Australia
Henrik Leopold Vrije Universiteit Amsterdam, The Netherlands
Lin Liu University Beijing, China
Fabrizio Maria Maggi University of Tartu, Estonia
Florian Matthes Technische Universität München, Germany
Raimundas Matulevicius University of Tartu, Estonia
Jan Mendling Vienna University of Economics and Business, Austria/WU Vienna,Austria
Isabelle Mirbel Université Côte d'Azur, Inria, CNRS, I3S, France
Boris Novikov St Petersburg University, Russia
Jeff Parsons Memorial University of Newfoundland, Canada
Anna Perini Fondazione Bruno Kessler, Trento, Italy
Günther Pernul Universität Regensburg, Germany
Pierluigi Plebani Politecnico di Milano, Italy
Geert Poels Ghent University, Belgium
Naveen Prakash IGDTUW New Delhi, India
Manuel Resinas Universidad de Sevilla, Spain
Antonio Ruiz Cortes Universidad de Sevilla, Spain
Kurt Sandkuhl The University of Rostock, Germany
Flavia Maria Santoro Federal University of the State of Rio de Janeiro, Brazil
Kari Smolander Laapanrantan, Finland
Monique Snoeck KU Leuven, Belgium
Ernest Teniente Universitat Politecnica de Catalunya, Spain
Olegas Vasilecas Vilnius Gediminas Technical University, Lithuania
Panos Vassiliadis University of Ioannina, Greece
Matthias Weidlich Humboldt-Universität zu Berlin, Germany
Hans Weigand Tilburg University, Netherlands
Eric Yu University of Toronto, Canada

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