Euromicro Conference on
Software Engineering and Advanced Applications

August 29 – 31, 2018
Prague | Czech Republic

SEAA 2018

Software Process and Product Improvement (SPPI)

The size, complexity, and criticality of software-intensive systems require innovative and economic approaches to development and evolution. In today's competitive world, software quality is a key to success and stability of organizations. Software process and product improvement (SPPI) aims at significantly increasing both the quality of software-intensive systems and the productivity of software development. The SPPI track will bring together researchers and practitioners to share SPPI innovations and experiences. The track is an integral part of the 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2018.

Topics of interest include, but are not restricted to:

  • Organizational and business views on process improvement
  • Value-based software engineering
  • Global software engineering
  • Quality assurance, inspections, testing
  • Software process improvement and process standards
  • Process modeling, composition, and enactment/simulation
  • Quantitative models for development processes and products
  • Essential system quality aspects, e.g., dependability, safety, security, or usability
  • Technical debt (we will have a special session on this topic)
  • Open source software and software quality
  • Agile and lean development
  • Software reuse, product lines, and software ecosystems
  • Software evolution
  • Continuous delivery/integration and DevOps, software process and product evolution with feedback from operation.
  • Empirical studies and experimental approaches
  • Process improvement for innovative/emerging application areas (e.g., systems of systems, cloud/fog-based computing, big data systems, cyber-physical systems, IoT, Industry 4.0)

In particular, we encourage submissions demonstrating the benefits or limitations of SPPI approaches through case studies, experiments, and quantitative data.

Track Chairs

Stefan Biffl TU Vienna, Austria

Dietmar Winkler TU Vienna, Austria

Rick Rabiser JKU Linz, Austria

Program Committee

Silvia Abrahao, Universitat Politecnica de Valencia, Spain

Wasif Afzal, Malardalen University, Sweden

Ove Armbrust, Alpine Electronics Research of America, USA

Claudia P. Ayala, Technical University of Catalunya, Spain

Miklos Biro, Software Competence Center Hagenberg, Austria

Matthias Book, University of Iceland, Iceland

Jan Bosch, Chalmers University of Technology, Sweden

Ruth Breu, University of Innsbruck, Austria

Noel Carroll, Lero, National University of Ireland Galway, Ireland

Michel Chaudron, Chalmers & Gothenborg University, Sweden

Maya Daneva, University of Twente, Netherlands

Frank Elberzhager, Fraunhofer IESE, Germany

Michael Felderer, University of Innsbruck, Austria

Volker Gruhn, University of Duisburg-Essen, Germany

Jens Heidrich, Fraunhofer IESE, Germany

Helena Holmström Olsson, Mälmö University, Sweden

Martin Höst, Lund University, Sweden

Frank Houdek, Daimler AG, Germany

Slinger Jansen, Utrecht University, Netherlands

Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro, Brazil

Michael Klaes, Fraunhofer IESE, Germany

Tomi Männistö, University of Helsinki, Finland

Emilia Mendes, BTH, Sweden

Maurizio Morisio, Politecnico di Torino. Italy

Juergen Muench, University of Reutlingen, Germany

Barbara Paech, Heidelberg University, Germany

Oscar Pastor, Univ. Polytecnica de Valencia, Spain

Andreas Rausch, Technische Universität Clausthal, Germany

Rudolf Ramler, Software Competence Center Hagenberg, Austria

Barbara Russo, Free University of Bolzano/Bozen, Italy

Clenio F. Salviano, Centro de Tecnologia da Informação Renato Archer, Brazil

Klaus Schmid, University of Hildesheim, Germany

Christa Schwanninger, Siemens CT, Germany

Richard Torkar, Chalmers & Gothenborg University, Sweden