Advertisement

Empirical Studies on the Development of Executable Business Processes

  • Daniel Lübke
  • Cesare Pautasso
Book

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Introduction and Background

    1. Front Matter
      Pages 1-1
    2. Daniel Lübke, Cesare Pautasso
      Pages 3-12
    3. Daniel Lübke, Ana Ivanchikj, Cesare Pautasso
      Pages 13-29
  3. Solution Architecture

    1. Front Matter
      Pages 31-31
    2. Volker Stiehl, Marcus Danei, Juliet Elliott, Matthias Heiler, Torsten Kerwien
      Pages 33-57
    3. Daniel Lübke, Tobias Unger, Daniel Wutke
      Pages 59-81
  4. Case Studies and Experiments

    1. Front Matter
      Pages 83-83
    2. Olga Lucero Vega-Márquez, Jaime Chavarriaga, Mario Linares-Vásquez, Mario Sánchez
      Pages 85-111
    3. Irene Vanderfeesten, Jonnro Erasmus, Konstantinos Traganos, Panagiotis Bouklis, Anastasia Garbi, George Boultadakis et al.
      Pages 113-142
    4. Kathrin Kirchner, Nico Herzberg
      Pages 143-164
  5. Quality

    1. Front Matter
      Pages 165-165
    2. Vincenzo Ferme, Ana Ivanchikj, Cesare Pautasso, Marigianna Skouradaki, Frank Leymann
      Pages 167-197
    3. Daniel Lübke, Joel Greenyer, David Vatlin
      Pages 199-223

About this book

Introduction

This book collects essential research on the practical application of executable business process modeling in real-world projects, i.e., model-driven solutions for the support and automation of digital business processes that are created using languages such as BPEL or BPMN. It mainly focuses on empirical research, but also includes an up-to-date cross-section of case studies in order to assess examples of BPM’s practical impact in the industry.

On the one hand, executable models are formally and precisely defined so that computers can interpret and execute them; on the other, they are visualized so that humans can describe, document and optimize business processes at a higher level of abstraction than with traditional textual programming languages. While these important research areas have long been separated from one another, this book is an attempt at cross-fertilization, driven by the insight that business processes are the software behind today’s digital organizations, and that achieving a precise representation of such processes is key to their reliable execution. Consequently, the book presents various case studies and experiments that investigate questions of interest to both academia (e.g., identifying challenges for which no solution exists; sharing new insights into how existing approaches are actually used) and industry (e.g., guidelines on using certain technologies and on modeling comprehensible and executable processes).

Both researchers and practitioners will benefit from the presentation of how concepts are transformed into working solutions. The studies are presented in a structured manner and with sufficient rigor to be considered empirical research, further enhancing the book’s value for the research community, while practitioners will find concrete guidance on making the right decisions for their projects.

Keywords

Business Process Management Information Systems BPMN Empirical Studies Model-Driven Engineering

Editors and affiliations

  • Daniel Lübke
    • 1
  • Cesare Pautasso
    • 2
  1. 1.Fachgebiet Software EngineeringLeibniz Universität HannoverHannoverGermany
  2. 2.Faculty of InformaticsUniversità della Svizzera italiana (USI)LuganoSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-17666-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-17665-5
  • Online ISBN 978-3-030-17666-2
  • Buy this book on publisher's site