The pervasiveness of evolution in GRUMPS software

  • Authors:
  • Huw Evans;Malcolm Atkinson;Margaret Brown;Julie Cargill;Murray Crease;Steve Draper;Phil Gray;Richard Thomas

  • Affiliations:
  • Department of Computing Science, University of Glasgow, Glasgow, G12 8RZ, U.K.;Department of Computing Science, University of Glasgow, Glasgow, G12 8RZ, U.K.;Department of Computing Science, University of Glasgow, Glasgow, G12 8RZ, U.K.;Department of Computing Science, University of Glasgow, Glasgow, G12 8RZ, U.K.;Department of Computing Science, University of Glasgow, Glasgow, G12 8RZ, U.K.;Department of Psychology, University of Glasgow, Glasgow, G12 8QQ, U.K.;Department of Computing Science, University of Glasgow, Glasgow, G12 8RZ, U.K.;Department of Computer Science and Software Engineering, The University of Western Australia, Crawley WA, 6009, Australia

  • Venue:
  • Software—Practice & Experience
  • Year:
  • 2003

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Abstract

This paper describes the evolution of the design and implementation of a distributed run-time system that itself is designed to support the evolution of the topology and implementation of an executing, distributed system. The three different versions of the run-time architecture that have been designed and implemented are presented, together with how each architecture addresses the problems of topological and functional evolution. In addition, the reasons for the rapid evolution of the design and implementation of the architecture are also described.From the lessons learned in both evolving the design of the architecture and in trying to provide a run-time system that can support run-time evolution, this paper discusses two generally applicable observations: evolution happens all the time, and it is not possible to anticipate how systems will evolve as designs; and large, run-time systems do not follow a predictable path. In addition to this, rapid prototyping has proved to be extremely useful in the production of the three architectures; this kind of prototyping has been made much easier by designing the core set of Java abstractions in terms of interfaces; and building an architecture that allows as many decisions as possible to be made at run-time which has produced a support system that is more responsive to the user as well as the distributed environment in which it is executing.