SEAA 2013 - special session on Emerging Software Engineering & Management Trends: DevOps, Design-Thinking and Lean Startup

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 of project and product development based on the present development stage, experiences gained in previous project phases, and historic data from past similar/different projects.
The objective of this special session is to provide a forum where researchers and practitioners discuss applications and results of state-of-the-art 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.
Contributions based on proprietary data from commercial and industrial projects are welcome. These contributions should encompass a detailed description of the context of the project and organization.
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 fuzzy real-world data sets (e.g., incomplete, inconsistent, and/or erroneous).
New ideas, methods and tools for estimation or prediction.