main empirical research areas:
Post on 07-Jan-2016
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’05Rick SelbySoftware Products, Northrop Grumman & Adjunct Faculty, University of Southern CaliforniaLos Angeles, CA
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 studiesRelationships
Barry Boehm, Vic Basili, Dieter Rombach, etc.
Candidate member
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