Rick Selby Software Products, Northrop Grumman & Adjunct Faculty, University of Southern California Los Angeles, CA Candidate member Main empirical research areas: Techniques for building and evaluating predictive models that use early lifecycle metrics to define leading indicators Empirical tradeoff analyses for large-scale systems engineering for errors, effort, and reuse Infrastructure for automated data collection and analysis Integrating active measurement and executable architectures Main motivation for joining ISERN: Interact with colleagues and share ideas and feedback Planned contributions to the community: Share balanced view of software research and practice Help facilitate common approaches and frameworks Expectations Open discussions accelerate maturation of new ideas, methods, and studies Relationships Barry Boehm, Vic Basili, Dieter Rombach, etc.