Simulation Process Modelling for Managing Software Evolution

  • Meir M. Lehman
  • Goel Kahen
  • Juan F. Ramil
Part of the International Series in Software Engineering book series (SOFT, volume 10)

Abstract

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed progressive, As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed anti-regressive, is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Key words

Complexity feedback laws of software evolution process improvement resource estimation System Dynamics 

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Meir M. Lehman
    • 1
  • Goel Kahen
    • 2
  • Juan F. Ramil
    • 3
  1. 1.School of Computing ScienceMiddlesex UniversityLondonUK
  2. 2.Crown Poly, Inc.Huntington ParkUSA
  3. 3.Computing Department, Faculty of Maths and ComputingThe Open UniversityUK

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