Call for Papers

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

Software Process and Product Improvement (SPPI)

September 1-3, 2021

https://dsd-seaa2021.unipv.it/seaa/index.html

Motivation: 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 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2021.

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 Organizers:
Stefan Biffl, Stefan.Biffl@tuwien.ac.at, TU Vienna, Austria, web
Dietmar Winkler, dietmar.winkler@tuwien.ac.at, TU Vienna, Austria web
Rick Rabiser, rick.rabiser@jku.at, Johannes Kepler University Linz, Austria web

Program Committee:

Ove Armbrust, Intel Corporation, USA
Claudia P. Ayala, Technical University of Catalunya, Spain
Matthias Book, University of Iceland, Iceland
Jan Bosch, Chalmers & Gothenburg University, Sweden
Ruth Breu, University of Innsbruck, Austria
Michel Chaudron, TU Eindhoven Netherlands
Marcus Ciolkowski, QAware GmbH
Maya Daneva, Twente University, 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
Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro, Brazil
Tomi Männistö, University of Helsinki, Finland
Maurizio Morisio, Politecnico di Torino. Italy
Juergen Muench, University of Reutlingen, Germany
Barbara Paech, Heidelberg University, Germany
Rudolf Ramler, Software Competence Center Hagenberg, Austria
Ita Richardson, Lero, University of Limerick, Ireland
Klaus Schmid, University of Hildesheim, Germany
Christa Schwanninger, Siemens CT, Germany