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 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2023.


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 and big data for development processes and products
  • Essential system quality aspects, e.g., dependability, safety, security, or usability
  • Technical debt
  • Open source software and software quality
  • Agile and lean development
  • Software reuse, variability management, 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., deep learning/AI, 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/Session Organizers

Program Committee

  • Tomi Männistö, University of Helsinki
  • Frank Houdek, Mercedes-Benz AG
  • Matthias Book, University of Iceland
  • Maya Daneva, University of Twente
  • Martin Höst, Lund University
  • Michel Chaudron, Eindhoven University of Technology
  • Helena Holmström, Olsson University of Malmo
  • Juergen Muench, Reutlingen University
  • Jan Bosch Chalmers, University of Technology
  • Andreas Rausch, Technische Universität Clausthal
  • Michael Klaes, Fraunhofer
  • Ove Armbrust, Intel
  • Rudolf Ramler, Software Competence Center Hagenberg
  • Jens Heidrich, Fraunhofer
  • Barbara Paech, Universität Heidelberg
  • Marcus Ciolkowski, QAware GmbH
  • Ruth Breu, Research Group Quality Engineering
  • Michael Felderer, German Aerospace Center (DLR)