SPPI - Software Process And Product Improvement (Track)

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 38th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2012.

Suggested 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 modelling, composition, and enactment
  • Process simulation
  • Product management
  • Quantitative models for development processes and products
  • Dependability, safety, security, or usability
  • Open source software and software quality
  • Agile and lean development
  • Software reuse, product lines, and software ecosystems
  • Innovative approaches to software development
  • Software evolution
  • Empirical studies and experimental approaches

In particular, we encourage submissions demonstrating the benefits or limitations of SPPI approaches through case studies, experiments, and quantitative data.
Accepted papers will be included in the proceedings, published by the Conference Publishing Services (CPS). The proceedings of the conference will be submitted to Xplore and CSDL. The Paper submission system and further instructions are available at the submission page.

Extended versions of selected (best) papers will be considered for publication in a special issue of a journal (under negotiation).

Track Organizers

st Stefan Biffl, Vienna University of Technology, Austria
rr Rick Rabiser, Johannes Kepler Univ. Linz, Austria

Program Committee

  • Andreas Rausch, Tech. Univ. Clausthal, Germany
  • Aybüke Aurum, Univ. of New South Wales, Australia
  • Ayca Tarhan, Hacettepe Univ., Turkey
  • Aysu Betin Can, Middle East Tech. Univ., Ankara, Turkey
  • Barbara Paech, Univ. Heidelberg, Germany
  • Barbara Russo, Free Univ. Bolzano, Italy
  • Cigdem Gencel, Free Univ. Bolzano, Italy
  • Claudia P. Ayala, Tech. Univ. Catalunya, Spain
  • Clenio F. Salviano, Centro de Tecnologia da Informação Renato Archer, Brazil
  • Fevzi Belli, Univ. Paderborn, Germany
  • Frank Elberzhager, Fraunhofer IESE, Germany
  • Frank Houdek, Daimler Research, Germany
  • Günther Ruhe, Univ. Calgary, Canada
  • Ita Richardson, Lero, Ireland
  • Jaejoon Lee, Lancaster Univ., UK
  • Jan Bosch, Chalmers Univ., Sweden
  • Jens Heidrich, Fraunhofer IESE, Germany
  • Jürgen Münch, Helsinki Univ., Finland
  • Klaus Schmid, Univ. Hildesheim, Germany
  • LiGuo Huang, SMU, Dallas/TX, USA
  • Mahmood Niazi, Keele University UK/KFUPM Saudi Arabia
  • Martin Höst, Lund Univ., Sweden
  • Matthias Book, Paluno, Germany
  • Maurizio Morisio, Politecnico di Torino, Italy
  • Maya Daneva, Univ. Twente, the Netherlands
  • Michel Chaudron, Leiden Univ., the Netherlands
  • Miklos Biro, Dennis Gabor College, Hungary
  • Oktay Turetken, Tilburg Univ., the Netherlands
  • Onur Demirörs, Middle East Tech. Univ., Ankara, Turkey
  • Oscar Dieste, Univ. Polytechnica de Madrid, Spain
  • Oscar Pastor Lopez, Univ. Polytecnica de Valencia, Spain
  • Ove Armbrust, Alpine Electronics Research, USA
  • Ruth Breu, Univ. Innsbruck, Austria
  • Silvia Abrahao, Univ. Polytecnica de Valencia, Spain
  • Slinger Jansen, Utrecht Univ., the Netherlands
  • Stig Larsson, Lunik Process Improvement Consulting, Sweden
  • Tomi Männistö, Aalto Univ., Finland
  • Rudolf Ramler, SCCH Hagenberg, Austria
  • Dietmar Winkler, TU Wien, Austria