EsPreSSE - Estimation and Prediction in Software & Systems Engineering (Special Session)
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:
To increase the visibility of published papers, EsPreSSE cooperates with the PROMISE repository of reproducible SE experiments. Authors of accepted papers are invited to submit the associated data to the PROMISE repository. Contributions based on proprietary data from commercial and industrial projects are also welcome. These contributions should encompass a detailed description of the project and organizational context.
Authors of the best papers will be invited to revise and submit extended versions of their papers for publication in the International Journal of Software Engineering and Knowledge Engineering (IJSEKE).
Accepted papers will be included in the proceedings, published by the Conference Publishing Services (CPS). The proceedings of the conference will be submitted to Xplore and CSDL. The Paper submission system and further instructions are available at the submission page.