Informed Evolution

  • Katrina Falkner
  • Dharini Balasubramaniam
  • Henry Detmold
  • David S. Munro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4758)

Abstract

Ageless Software evolves, to meet new requirements, without reducing its efficiency or understandability. Here we introduce a methodology called Informed Evolution for supporting the construction and evolution of ageless software. This methodology integrates the software architecture (structure and constraints) and the system implementation (behaviour) within system execution. Evolution is effected by evolution patterns which are in turn guided by constraints specified in the software architecture. The availability of the software architecture and implementation at run-time ensures that changes are informed by design and implementation decisions, thus preserving efficiency and understandability. In this paper, we outline Informed Evolution, and describe how evolution patterns may be expressed for systems developed using this methodology.

Keywords

Evolution Pattern Software Architecture Structural Constraint Software Implementation System Execution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Katrina Falkner
    • 1
  • Dharini Balasubramaniam
    • 2
  • Henry Detmold
    • 1
  • David S. Munro
    • 1
  1. 1.School of Computer Science, University of Adelaide, Adelaide, S.A. 5005Australia
  2. 2.Department of Computer Science, University of St Andrews, St Andrews, Fife KY16 9SXUK

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