Euromicro Conference on
Software Engineering and Advanced Applications

September 1 – 3, 2021
Virtual Event
Organized from Palermo | Italy

SEAA 2021

SEAA 2021 Call For Papers Committees Submissions Registration

Deadline for Paper Submission:

1 April 2021 20 April 2021

Notification of Acceptance:

15 May 2021 25 May 2021

Camera-Ready Papers:

15 June 2021 2 July 2021

Call for Papers

Technical Track @ 47th EUROMICRO SEAA Conference in Palermo / Italy

AI-Enabled Software Development and Operations (AI4DevOps)

September 1-3, 2021

Motivation: Software engineering increasingly takes advantage of the ability to collect, process, analyze and visualize large quantities of data originating from the development and operations (DevOps) of software applications, products, and services. We see a rise of AI techniques being employed to leverage this data. Examples include deep learning to facilitate accurate classification and prediction, transfer learning to enable cross-system/-project/-organizational knowledge exchange, and reinforcement learning to provide advanced autonomous planning and thereby empower a new class of self-learning, self-optimizing and self-adapting software systems. AI thus enables us to take the next step in excelling in software development and operations by delivering smarter software monitoring, analytics, development and management techniques, methods and tools. The track is an integral part of the 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2021.

Mission: This track will look at AI-enabled techniques, methods and tools for software development and operations. In particular, we will explore the opportunities and challenges of using AI for software engineering, serving as a forum for the exchange of ideas, solutions and experiences among researchers and practitioners from communities, such as software analytics, quality assurance and testing, software processes, software visualization, human-computer interaction, adaptive systems, AI, data management, and machine learning.

Topics of interest include, but are not restricted to:

  • Methods, tools, applications and lessons learned of AI for software engineering
  • AI-enabled requirements engineering, planning, coding, building and testing
  • AI-enabled release, deployment, monitoring and dynamic adaptation
  • Data-driven AI (machine learning) and big data analytics for DevOps
  • Self-adaptive, self-optimizing and self-learning software systems
  • Explainable and Compliant AI in the context of DevOps
  • AI-driven continuous testing and experimentation
  • Software and data life-cycle management
  • Integrated software and data engineering
  • New applications for deep learning, advanced analytics and reasoning
  • Predictive methods and estimation in software development, operations, and evolution
  • Software visualization and visual analytics
  • Risk management in software and systems development projects
  • Empirical studies and experience reports about successful or unsuccessful applications of the aforementioned topics

Track Organizers:
Michel Chaudron,, University of Gothenburg, Sweden
Michael Felderer,, University of Innsbruck, Austria
Andreas Metzger,, University of Duisburg-Essen & Big Data Value Association (BDVA), Germany
Rudolf Ramler,, Software Competence Center Hagenberg GmbH, Austria
Dietmar Winkler,, TU Vienna, Austria

Program Committee:
Olga Baysal, Carleton University, Canada
Alexandre Bergel, University of Chile, Chile
Markus Borg, RISE SICS AB, Sweden
Matteo Camilli , Free University of Bolzano, Italy
Luis Cruiz, University of Delft, The Netherlands
Maya Daneva, University of Twente, The Netherlands
Oscar Dieste, Universidad Politecnica de Madrid, Spain
Frank Elberzhager, Fraunhofer IESE, Germany
Emilia Mendes, Blekinge Institute of Technology, Sweden
Eitan Farchi, IBM Israel, Israel
Nicolas Ferry, University Côte d'Azur, France
Steffen Frey, University of Stuttgart, Germany
Matthias Galster, University of Canterbury, New Zealand
Jens Heidrich, Fraunhofer IESE, Germany
Magne Jørgensen, Simula Research Laboratory, Norway
Michael Kläs, Fraunhofer IESE, Germany
Bin Lin, University of Lugano, Switzerland
Nazim Madhavji, University of Western Ontario, Canada
Andriy Miranskyy , Ryerson University, Canada
Zoltan Mann, University of Duisburg-Essen, Germany
Sandro Morasca, University of Insubria, Italy
Raimund Moser, Free University of Bolzano, Italy
Ezequiel Scott, University of Tartu, Estonia
Burak Turhan, Monash University, Australia
Stefan Wagner, University of Stuttgart, Germany