||Barry W. Boehm,
TRW Professor of Software Engineering and Director, Center for Software Engineering, University of Southern California
Senior Researcher at Microsoft Research Centre, Cambridge UK.
PROMISE= PRedictOr Models In Software Engineering
Software management decisions should be based on well-understood and well-supported predictive models.
A good model should be a generalization of real-world data. But where does the data come from?
Collecting data from real world software engineering projects is problematic. Software projects are notoriously difficult to control and corporations are often reluctant to expose their own software development record to public scrutiny.
Since data difficult to attain, we need to make better use of the whatever data is available. For example, we need to know:
- How much do we need to know about software engineering in order to build effective models?
- How to adapt models to new data?
- How to streamline the data or the process?
- How can predictive modeling gain greater acceptance by the SE community?
See our call for papers to find out how to join an international community of researchers and industrial groups exploring these issues.
Promise 2009 follows on the success of the 2008, 2007, 2006, 2005 workshops.