Applying evolutionary computation to mitigate uncertainty in dynamically-adaptive, high-assurance middleware

  • McKinley P
  • Cheng B
  • Ramirez A
  • et al.
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Abstract

In this paper, we explore the integration of evolutionary computation into the development and run-time support of dynamically-adaptable, high-assurance middleware. The open-ended nature of the evolutionary process has been shown to discover novel solutions to complex engineering problems. In the case of high-assurance adaptive software, however, this search capability must be coupled with rigorous development tools and run-time support to ensure that the resulting systems behave in accordance with requirements. Early investigations are reviewed, and several challenging problems and possible research directions are discussed.

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APA

McKinley, P. K., Cheng, B. H. C., Ramirez, A. J., & Jensen, A. C. (2012). Applying evolutionary computation to mitigate uncertainty in dynamically-adaptive, high-assurance middleware. Journal of Internet Services and Applications, 3(1), 51–58. https://doi.org/10.1007/s13174-011-0049-4

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