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EsPreSSE 2014 : EsPreSSE - Special Session on Estimation and Prediction in Software and Systems Engineering @ Euromicro SEAA


When Aug 27, 2014 - Aug 29, 2014
Where Verona, Italy
Submission Deadline Mar 6, 2014
Notification Due Apr 28, 2014
Final Version Due May 19, 2014
Categories    estimation   prediction   software   systems

Call For Papers


40th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

Software Management (Track)

Estimation and Prediction in Software and Systems Engineering


Estimation and prediction approaches are a valuable foundation for planning activities and for making the right decisions at the right time in software and systems engineering. Over the last decade research and practice in software estimation and prediction have advanced the ability to infer likely future results and implications for project and product development based on the present development stage, experiences gained in previous project phases, and data from past projects.

The objective of this special session is to provide a forum where researchers and practitioners discuss applications and results of software estimation and prediction approaches. In particular, the session encourages the exchange of experiences from applications in commercial, industrial and open source projects that indicate strengths and limitations of these approaches in a real-world setting.

Topics of interest include, but are not restricted to:
+ Estimation and prediction approaches used for guiding quality assurance and/or process improvement initiatives
+ Estimation and prediction approaches for usage-, product- or process-related quality attributes
+ Approaches for risk estimation or prediction in systems and software development projects
+ Case studies on the application of estimation or prediction in software and systems engineering
+ Experience reports about successful or unsuccessful estimation or prediction including a retrospective analysis and lessons learned
+ Practical approaches for constructing effort and prediction models from real-world data sets (e.g., incomplete, inconsistent, fuzzy, and/or erroneous)
+ New ideas, methods and tools for estimation or prediction

To increase the visibility of published papers, EsPreSSE cooperates with the PROMISE repository of reproducible SE experiments. Authors of accepted papers are also invited to submit associated data sets to the PROMISE repository.


The paper submission system and further instructions are available at the submission page and CfP page. Accepted papers will be included in the proceedings, published by IEEE Computer Society Press, and the IEEE Xplore Digital library.

+ Paper Submission Page:
+ Select "Estimation and Prediction in Software & Systems Engineering"

Extended versions of selected (best) papers will be considered for publication in a special issue of the journal of Information and Software Technology.


+ Rudolf Ramler, Software Competence Center Hagenberg, Austria
+ Dietmar Winkler, Vienna University of Technology, Austria


+ Ayse Basar Bener, Ryerson University, Canada
+ Christian Bird, Microsoft Research, United States
+ Maya Daneva, University of Twente, The Netherlands
+ Oscar Dieste, Universidad Politecnica de Madrid, Spain
+ Frank Elberzhager, Fraunhofer IESE, Germany
+ Michael Felderer, University of Innsbruck, Austria
+ Robert Feldt, Blekinge Institute of Technology, Sweden
+ Harald Gall, University of Zurich, Switzerland
+ Jens Heidrich, Fraunhofer IESE, Germany
+ Michael Kläs, Fraunhofer IESE, Germany
+ Magne Jorgensen, Simula Research Laboratory, Norway
+ Tim Menzies, West Virginia University, United States
+ Sandro Morasca, University of Insubria, Italy
+ Raimund Moser, Free University of Bolzano, Italy
+ Jürgen Münch, University of Helsinki, Finland
+ Thomas Natschläger, Software Competence Center Hagenberg, Austria
+ Thomas Ostrand, Rutgers University, United States
+ Andreas Rausch, TU Clausthal, Germany
+ Barbara Russo, Free University of Bolzano, Italy
+ Burak Turhan, University of Oulu, Finland
+ Stefan Wagner, University of Stuttgart, Germany

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