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EsPreSSE 2015 : Estimation and Prediction in Software & Systems Engineering

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Link: http://paginas.fe.up.pt/~dsd-seaa-2015/seaa2015/call-for-papers-seaa-2015/espresse-special-session/
 
When Aug 26, 2015 - Aug 28, 2015
Where Funchal, Madeira, Portugal
Abstract Registration Due Feb 15, 2015
Submission Deadline Feb 22, 2015
Notification Due Apr 27, 2015
Final Version Due May 17, 2015
Categories    software engineering   data mining   software estimation   software quality
 

Call For Papers

EsPreSSE 2015 (Estimation and Prediction in Software & Systems Engineering) is organized as special session at the 41st Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2015), in Funchal, Madeira, Portugal, August 26-28 2015


:: MOTIVATION AND GOALS ::

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.

Estimation and prediction for mobile systems: The increasing availability of large sets of rich data fuels estimation and prediction approaches also in related areas and new application contexts. A tremendous trend is the application of mobile devices in several domains and the corresponding app development. New challenges arise, such as achieving a faster time to market, focusing on quality properties such as usability, security, and how to balance them, or deciding the point to release an app regarding faster feedback versus better quality.

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 ::

We encourage especially submissions in the area of mobile systems. Topics of interest include, but are not restricted to:

* Estimation and prediction approaches used for supporting software engineering tasks and guiding quality assurance
* Estimation and prediction approaches for usage-, product- or process-related quality attributes
* Approaches for risk estimation or prediction in mobile systems and software development projects
* Case studies on the application of estimation or prediction in mobile 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)
* Estimation and prediction based on big data in the area of pervasive and mobile computing
* Predicting usage behavior, mobility patterns, and application contexts to support development and maintenance activities
* Approaches based on app store mining and user feedback
* New ideas, methods and tools for estimation or prediction


:: IMPORTANT DATES & SUBMISSION GUIDELINES ::

Abstract Submission: Feb. 15, 2015
Paper Submission: Feb. 22, 2015
Notification of Acceptance: April 27, 2015

All contributions will be reviewed by the international CPS Program Committee on their scientific merit and relevance, and they may be accepted as regular (max. 8 pages) or short papers (max 4 pages). All accepted papers will be published in the conference proceedings and the IEEE Xplore Digital library. Extended versions of best papers will be considered for publication in an international journal.


:: SESSION ORGANIZERS ::

Frank Elberzhager, Fraunhofer Institute for Experimental Software Engineering, Germany
Rudolf Ramler, Software Competence Center Hagenberg, Austria


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