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EsPreSSE 2013 - special session on Estimation and Prediction in Software & Systems Engineering

Date2013-09-04 - 2013-09-06

Deadline2013-03-28

VenueSantander, Spain Spain

Keywords

Websitehttp://seaa2013.ii.metu.edu.tr

Topics/Call fo Papers

::MOTIVATION AND GOALS::
Estimation and prediction approaches are a valuable foundation for planning upcoming activities and making the right decisions at the right time in software and systems engineering. Over the last decade the research and practice in software estimation and prediction has 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 projects.
The objective of this special session is to provide a forum where researchers and practitioners can report on and 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. They should encompass a detailed description of the context of the project and organization.
::TOPICS OF INTEREST::
Suggested topics of interest include, but are not restricted to:
* Estimation or prediction approaches used for guiding quality assurance and/or process improvement initiatives.
* Estimation or 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/unsuccessful estimations or predictions including a retrospective analysis and lessons learned.
* Practical approaches for constructing effort or prediction models from fuzzy real-world data sets (e.g., incomplete, inconsistent, or erroneous).
* New ideas, methods and tools for estimation or prediction.

Last modified: 2012-12-16 12:10:18