Informed evolution

  • Authors:
  • Katrina Falkner;Dharini Balasubramaniam;Henry Detmold;David S. Munro

  • Affiliations:
  • School of Computer Science, University of Adelaide, Adelaide, Australia;Department of Computer Science, University of St Andrews, St Andrews, UK;School of Computer Science, University of Adelaide, Adelaide, Australia;School of Computer Science, University of Adelaide, Adelaide, Australia

  • Venue:
  • ECSA'07 Proceedings of the First European conference on Software Architecture
  • Year:
  • 2007

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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.