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SEI To Host 'Software Product Line' Conference

The Carnegie Mellon Software Engineering Institute (SEI) will host the 13th Annual International Software Product Line Conference (SPLC 2009) on August 24"28, 2009 in San Francisco, California. SPLC is a forum for researchers, practitioners, and educators to present and discuss current and emerging trends in software product lines.

Product line approaches to system development apply practices, processes, technology, and tools to achieve strategic, planned reuse of technical and business artifacts. Effectively using software product lines improves time to market, cost, productivity, and quality. They also enable rapid market entry and flexible response, and simplify software maintenance and enhancement.

This year's program includes presentations on current research, experience reports from industry, and product line workshops, tutorials, and tool demonstrations. Conference attendees will have several opportunities to actively participate in sessions that will explore ideas for future directions in the field of software product lines. In addition, three leaders in the field of software engineering will deliver keynote addresses:

  • Richard P. Gabriel, distinguished engineer at IBM Research. Gabriel has looked into the architecture, design, and implementation of extraordinarily large, self-sustaining systems. Gabriel has also been a key contributor to the SEI's research study on ultra-large-scale systems.
  • Jacob G. Refstrup, distinguished technologist at Hewlett-Packard's Imaging and Printing Group. Refstrup is the lead architect for the Owen software product line architecture and has spent the past 10 years contributing to the Owen architecture, processes, tools, and code base.
  • Dr. Kyo Chul Kang, professor at the Pohang University of Science and Technology (POSTECH) in Korea. Kang originated and developed feature-oriented domain analysis (FODA), the most widely used method for representing and analyzing features of applications in a domain. FODA is particularly relevant to product line practice because it enables the systematic discovery and exploitation of commonality and variation across a set of products.

For more information, go here.

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