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Proceedings of the 5th IEEE International Conference on Autonomic Computing, Chicago, Illinois, June[removed]Autonomic Software Development Methodology Based on Darwinian Evolution ∗ Benjamin E. Beckmann, Laura M. Grabow
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Document Date: 2013-02-07 15:35:34


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File Size: 1,30 MB

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City

Chicago / /

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Facility

Michigan State University / /

IndustryTerm

software development methods / software development process / computational systems / energy conservation / economical software solutions / unintuitive solutions / autonomic computing focuses / autonomic systems / physical hardware / software platform / software exhibiting self-* properties / adequate solutions / autonomic computing / computational behavior needed in such systems / software development methodology / real-world hardware / software developers / control software / adapted solutions / autonomic computing concepts / resilient computational systems / self-* software / software systems / /

Organization

Charles ofria Department of Computer Science and Engineering Michigan State University East Lansing / Michigan State University / office of Naval Research / National Science Foundation / Cambridge Templeton Consortium Emerging Intelligence / US Federal Reserve / U.S. Department / Navy / /

Person

Benjamin E. Beckmann / Laura M. Grabowski / Philip K. McKinley / Charles Ofria / /

Position

designer / administrator / controller / /

ProgrammingLanguage

C / /

ProvinceOrState

Illinois / /

Technology

simulation / /

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