Euromicro Conference on
Software Engineering and Advanced Applications

August 28 – 30, 2019
Kallithea, Chalkidiki | Greece

SEAA 2019

SEAA 2019 Call For Papers Committees Submissions Registration

Paper Submission Deadline:

15 March 2019

1 April 2019

Notification of Acceptance:

6 May 2019

Camera-Ready Papers:

14 June 2019

Call for Papers

Technical Track @ 45th EUROMICRO SEAA Conference in Thessaloniki / Chalkidiki, Greece

Software Engineering and AI


August 28-30, 2019

http://dsd-seaa2019.csd.auth.gr

Important Dates:

  • Abstract submission to tracks and sessions: March 1st, 2019
  • Paper submission deadline: March 15th, 2019 April 1st, 2019
  • Notification of accepted papers: May 6th, 2019
  • Camera-ready paper due: June 3rd, 2019

Artificial Intelligence and Machine Learning (AI/ML) see a lot of interest as software systems increasingly include AI/ML components as key parts, e.g. self-driving cars and other autonomous systems, voice-controlled interfaces etc. There is also an increased use of AI/ML during software development and engineering, e.g. to predict which parts of a system are more likely to contain faults and vulnerabilities, to repair bugs automatically etc.

Presently, the research on machine intelligence primarily focuses on new algorithms and computing architectures to improve accuracy on a given task. However, when companies and organisations try to apply AI/ML in practice there are many additional concerns and aspects that are important. For example, if the data available for training and testing the AI/ML component is not reliable or sufficient, it does not matter if a “better” AI/ML algorithm is used. It is also critical that the results of AI/ML techniques are clearly presented/explained to the end user. Further, the AI/ML components need to be smoothly integrated into the development process and the architected system.

The SE & AI track of the SEAA conference aims to deepen the understanding of the many practical considerations that are relevant when building complex software systems that include AI/ML components as well as when AI/ML techniques are applied during SE processes.

The topics of interest include, but are not limited to, the following knowledge areas:

  • Applying AI/ML to SE challenges such as software analytics, testing, cost estimation etc
  • Deep Learning in SE
  • Statistical and Bayesian methods in SE
  • Highly automated developer tools and development bots
  • Conversational and socially-savvy development tools
  • Explainable AI/ML systems in software development
  • Integration of AI in software processes and organisations
  • SE methods, processes and frameworks for AI/ML components
  • Evolution, maintenance of AI/ML software components
  • Re-training of AI/ML software components
  • Data quality and provenance for AI/ML software components
  • Visualisation and presentation of results from decision support systems

Special Session Organizers:

  • Robert Feldt, Chalmers University of Technology, Gothenburg, Sweden
  • Riccardo Scandariato, University of Gothenburg, Gothenburg, Sweden
  • Philipp Leitner, Chalmers University of Technology, Gothenburg, Sweden

Program committee

  • Shin Yoo, KAIST, South Korea
  • Paolo Tonella, Lugano, Switzerland
  • David Clark, UCL, UK
  • Rob Hierons, Univ of Leicester, UK
  • Neil Walkinshaw, Univ of Leicester, UK
  • Waldemar Hummer, IBM Research, USA
  • David Lo, Singapore Management University, Singapore
  • Andy Zaidman, Delft University of Technology, The Netherlands
  • Pooyan Jamshidi, University of South Carolina, USA
  • Stefan Wagner, University of Stuttgart, Germany
  • Staffan Truvé, Recorded Future
  • Serge Demeyer, University of Antwerp, Belgium
  • Francisco Gomes, Chalmers and the University of Gothenburg, Sweden